BED SYSTEM WITH PRESSURE ADJUSTMENT FEATURES

Abstract

A system can include a bed that includes a mattress and a controller. The controller can be configured to receive data indicating pressure changes in the mattress, aggregate the received data, determine an air-change-value based on the aggregated data to represent a change in mass, and generate instructions that, when executed, cause a pressure adjustment to the mattress based on the air-change-value that represents the change in mass.

Description

TECHNICAL FIELD

The present document relates to techniques for adjusting pressure in a mattress of a bed system.

BACKGROUND

In general, a bed is a piece of furniture used as a location to sleep or relax. Many modern beds include a soft mattress on a bed frame. The mattress may include springs, foam material, and/or an air chamber to support the weight of one or more occupants.

SUMMARY

This disclosure generally relates to systems, methods, and techniques for adjusting pressure in a mattress of a bed system. More particularly, the disclosed technology provides for determining and executing a corrective pressure adjustment that is based on and responsive to temperature adjustments made to a microclimate of the bed system. Temperature adjustments that increase or decrease a temperature of the microclimate of the bed system (e.g., heating or cooling routines) may directly affect a pressure level of air chambers in the mattress of the bed system. Therefore, the disclosed technology provides for adjusting pressure in the bed system (e.g., by removing or adding a mass of air to the air chambers in the mattress of the bed system) some threshold amount of time after the bed system is unoccupied (e.g., a bed-exit event is detected) and/or the temperature adjustments are no longer being made (e.g., the heating or cooling routine is deactivated). The pressure adjustment can be one pressure adjustment to return the bed system's pressure level to a pressure level that is closest to a user-desired pressure level (e.g., firmness level) or some pressure level that, once the temperature of the microclimate equilibrates with ambient room temperature, may be closest to the user-desired pressure level or a pressure level of the mattress before the temperature adjustments were previously made. Some techniques, such as an ideal gas law equation, can be used with the disclosed technology to estimate a mass of air that is added to or removed from the mattress while the temperature adjustments are being made. Then, at the end of a sleep session, such as when the user (or both users) exits the bed for at least a threshold amount of time (e.g., 15 minutes), the estimated mass of air can be pumped back into or out of the mattress. Temporarily, this may result in the mattress having a higher (or lower) pressure level than the user-desired pressure level, but as the bed system naturally cools down or warms up, the pressure level can become closer to the user-desired pressure level.

As an illustrative example, temperature adjustments can be made to the bed system to increase or decrease the microclimate temperature to a user-desired temperature during the user's sleep session. Pressure readings of the mattress can be captured while the temperature adjustments are being made. For example, while the temperature adjustments are being made, a pump of the bed system can automatically make pressure adjustments so that the bed system remains at a user-desired pressure level throughout the sleep session. A computing system, such as a controller of the bed system, can determine a difference in pressure in the mattress based on aggregating the sensed pressure readings while the temperature adjustments (and/or the pressure adjustments) are being made. The difference in pressure in the mattress can therefore represent a final pressure adjustment gain or loss for the bed system over the sleep session. Once a bed-exit event is detected at the bed system and/or the temperature adjustments are no longer being made, the computing system can determine an air-change-value based on the difference in pressure. The air-change-value can, for example, be the difference in pressure minus an atmospheric pressure value. The computing system can generate instructions that cause a pump of the bed system to execute a corrective pressure adjustment based on the air-change-value. The corrective pressure adjustment can be performed at a threshold amount of time after the bed-exit event, in some implementations. If the corrective pressure adjustment accounts for all or substantially all of the air-change-value, the corrective pressure adjustment may only need to be performed one time. Then, as the bed system naturally warms up or cools down before a next sleep session of the user, the pressure level in the bed system may return to a pressure level that is closer to the user-desired pressure level.

Some embodiments described herein include a bed system comprising a mattress; at least one sensor configured to measure pressure readings in the mattress; and a controller in communication with the at least one sensor. The controller can be configured to receive, from the at least one sensor, sensor data indicating pressure readings of the mattress; generate instructions to cause a pump to perform periodic pressure adjustments to account for pressure changes due to temperature changes; aggregate data reflecting the periodic pressure adjustments; determine an air-change-value, based on the aggregate data reflecting the periodic pressure adjustment; and generate instructions to cause the pump to execute a corrective pressure adjustment to the mattress based on the air-change-value.

Embodiments described herein can include one or more of the following optional features. For example, the air-change-value is determined at only one time after the controller stops operating to cause a temperature adjustment to the microclimate of the bed system. The pump executes the corrective pressure adjustment to the mattress at a single time only once after the controller stops operating to cause a temperature adjustment to the microclimate of the bed system. The temperature changes are caused by the controller generating instructions to cause a temperature adjustment to a microclimate of the bed system. The data reflecting the periodic pressure adjustments includes pressure adjustments made during a temperature adjustment routine and also pressure adjustments made after the temperature adjustment routine. The pressure readings of the mattress may be captured by the at least one sensor at predetermined time intervals. Generating the instructions to cause the pump to execute the corrective pressure adjustment further comprises determining when the bed system is unoccupied; and instructing the pump to execute the corrective pressure adjustment a threshold amount of time after determining that the bed system is unoccupied. Determining when the bed system is unoccupied comprises detecting a bed-exit event by a user of the bed system. Determining when the bed system is unoccupied may comprise determining that the controller is no longer operating to cause the temperature adjustment to the microclimate of the bed system. Determining when the bed system is unoccupied may be based on temperature changes that are detected, by a temperature sensor, in the mattress. Aggregating the data may be performed, by the controller, after detection of a bed-exit event by a user of the bed system. The at least one sensor includes a pressure sensor. The mattress comprises at least one air chamber and the at least one sensor is positioned inside the at least one air chamber. The mattress comprises at least one air chamber and the at least one sensor is fluidically connected to the at least one air chamber. The controller may be part of the pump of the bed system. The controller may be remote from the bed system. The data reflecting the periodic pressure adjustments reflects a total mass of air added or removed during the periodic pressure adjustments. Generating the instructions to cause the pump to execute the corrective pressure adjustment further comprises generating instructions that cause the pump to return a total mass of air in at least one air chamber of the mattress to be substantially equal to a mass of air that was in the at least one air chamber before the controller generated instructions to cause the pump to perform the periodic pressure adjustments. Generating the instructions to cause the pump to execute the corrective pressure adjustment further comprises increasing pressure in one or more air chambers to a pressure value that is greater than an initial pressure value prior to the temperature changes. The periodic pressure adjustments are responsive to at least one of (i) an increase in pressure in one or more air chambers resulting from blowing warm air through a layer of the mattress or (ii) a decrease in pressure in the one or more air chambers resulting from blowing or drawing cooling air through the mattress. The controller drives the pump to increase or decrease pressure in one or more air chambers of the mattress to a user-desired firmness level while the controller also drives a temperature system to cause the temperature changes. The pressure readings are captured, by the at least one sensor, whenever a pressure adjustment is made to the mattress responsive to the controller operating to cause the temperature changes. A difference in pressure is determined as a total amount of pressure that was added to or removed from the mattress during the periodic pressure adjustments. The corrective pressure adjustment may be made only once per determination of the difference in pressure.

Some embodiments described herein include a system comprising a bed including a mattress and a controller. The controller is configured to receive data indicating pressure changes in the mattress; aggregate the received data; determine an air-change-value based on the aggregated data to represent a change in mass; and generate instructions that, when executed, cause a pressure adjustment to the mattress based on the air-change-value that represents the change in mass.

Embodiments described herein can include one or more of the following optional features. For example, the data indicating the pressure changes in the mattress is generated by at least one sensor at the bed. The data indicating the pressure changes are received as the pressure changes are detected in the mattress. The mattress includes one or more air chambers, wherein the change in mass is a change in mass of air in the one or more air chambers. The pressure changes in the mattress are made, by the controller, responsive to the controller operating to cause a temperature adjustment at the bed system. The temperature adjustment is an increase in temperature at a microclimate of the bed system. The temperature adjustment is a decrease in temperature at a microclimate of the bed system. The instructions are executed a threshold amount of time after a bed-exit event is detected at the bed.

Some embodiments described herein include a bed system comprising a mattress having at least one air chamber; at least one sensor configured to measure pressure readings in the air chamber; and a controller in communication with the at least one sensor. The controller is configured to operate a thermal module at the bed system to cause an increase in temperature of a microclimate at the bed system to a threshold temperature value; while the thermal module is operating and based on sensor data received from the at least one sensor, execute instructions to repeatedly remove air from the air chamber to maintain a firmness of the air chamber at a user-desired firmness level; determine an air-change-value that reflects a cumulative amount of air removed from the air chamber; detect a bed-exit event at the bed system; and responsive to a threshold amount of time passing since detecting the bed-exit event, execute instructions to add air into the mattress based on the air-change-value.

Embodiments described herein can include one or more of the following optional features. For example, executing the instructions causes a corrective pressure adjustment to the mattress. The air added into the mattress responsive to executing the instructions is substantially equivalent to the cumulative amount of air removed from the air chamber.

Some embodiments described herein include a bed system comprising a mattress having at least one air chamber; at least one sensor configured to measure pressure readings in the air chamber; and a controller in communication with the at least one sensor. The controller is configured to operate a thermal module at the bed system to cause a decrease in temperature of a microclimate at the bed system to a threshold temperature value; while the thermal module is operating and based on sensor data received from the at least one sensor, execute instructions to repeatedly add air to the air chamber to maintain a firmness of the air chamber at a user-desired firmness level; determine an air-change-value that reflects a cumulative amount of air added to the air chamber; detect a bed-exit event at the bed system; and responsive to a threshold amount of time passing since detecting the bed-exit event, execute instructions to remove air from the mattress based on the air-change-value.

Embodiments described herein can include one or more optional features. For example, air removed from the mattress responsive to executing the instructions is substantially equivalent to the cumulative amount of air added to the air chamber.

The devices, systems, and techniques described herein may provide one or more of the following advantages. In some embodiments, using a large corrective pressure adjustment can be superior to making several smaller pressure adjustments because it can complete the adjusting process more quickly, thus creating an improved experience for a user. For example, a bed system can take several hours (e.g., 8-10 hours) to cool after becoming heated during a sleep session (e.g., in the morning after a night's sleep). If a bed system were to continually make pressure adjustments during the cooling, the pressure adjustment could continue to last hours which could be frustrating to a user who, for example, may wish to turn off the feature but be unable to do so if the adjustment feature is required to last for hours. In contrast, making one large pressure adjustment can be beneficial because it can complete the process at one time, even if the bed continues to cool (if the bed was previously heated) or heat (if the bed was previously cooled) for several hours.

As another example, the disclosed technology provides for the bed system to achieve the user-desired pressure level while the user is not on the bed system. When the user enters the bed system for a next sleep session, the bed system may already have the user-desired pressure level. This can cause the user to experience improved quality of sleep from the moment the user enters the bed system. Moreover, since the bed system's pressure level can be automatically adjusted when the user is not occupying the bed system, the user's sleep quality and overall comfort and sleep experience may not be impacted negatively by pressure adjustments made while the user occupies the bed system.

The details of one or more implementations are set forth in the accompanying drawings and the description below. Other features, aspects and potential advantages will be apparent from the accompanying description and figures.

DESCRIPTION OF DRAWINGS

FIG. 1 shows an example air bed system.

FIG. 2 is a block diagram of an example of various components of an air bed system.

FIG. 3 shows an example environment including a bed in communication with devices located in and around a home.

FIGS. 4A and 4B are block diagrams of example data processing systems that can be associated with a bed.

FIGS. 5 and 6 are block diagrams of examples of motherboards that can be used in a data processing system associated with a bed.

FIG. 7 is a block diagram of an example of a daughterboard that can be used in a data processing system associated with a bed.

FIG. 8 is a block diagram of an example of a motherboard with no daughterboard that can be used in a data processing system associated with a bed.

FIG. 9A is a block diagram of an example of a sensory array that can be used in a data processing system associated with a bed.

FIG. 9B is a schematic top view of a bed having an example of a sensor strip with one or more sensors that can be used in a data processing system associated with the bed.

FIG. 9C is a schematic diagram of an example bed with force sensors located at the bottom of legs of the bed.

FIG. 10 is a block diagram of an example of a control array that can be used in a data processing system associated with a bed

FIG. 11 is a block diagram of an example of a computing device that can be used in a data processing system associated with a bed.

FIGS. 12-16 are block diagrams of example cloud services that can be used in a data processing system associated with a bed.

FIG. 17 is a block diagram of an example of using a data processing system that can be associated with a bed to automate peripherals around the bed.

FIG. 18 is a schematic diagram that shows an example of a computing device and a mobile computing device.

FIG. 19 is a conceptual diagram for executing corrective pressure adjustments to a bed system.

FIG. 20 is a flowchart of a process for executing a corrective pressure adjustment to a bed system.

FIGS. 21A-B is a swimlane diagram of an example process for executing pressure adjustments to a bed system.

FIG. 22 is an example graph of changes in pressure in a mattress of a bed system when pressure adjustments are made to the air chamber pressure of the bed system.

Like reference symbols in the various drawings indicate like elements.

DETAILED DESCRIPTION

The disclosed systems, methods, and techniques provide for adjusting pressure levels in a mattress of a bed system responsive to temperature adjustments being made to the bed system. The temperature adjustments can be made during a sleep session of a user of the bed system, such as to increase a temperature of a microclimate of the bed system or decrease the temperature of the microclimate. The temperature adjustments can be made to achieve a temperature value at the microclimate of the bed system that provides the user with improved sleep quality and/or improved overall sleep experience. The temperature adjustments can cause fluctuations in pressure in one or more air chambers of the mattress. Sometimes, pressure adjustments can be automatically made during the temperature adjustments to counteract changes in air chamber pressure that result from the temperature adjustments (e.g., warming a layer that is in or on a mattress of the bed system can cause the air chamber to become firmer, and cooling a layer that is in or on a mattress of the bed system can cause the air chamber in the mattress to become less firm). A computing system, such as a controller of the bed system, can aggregate data reflecting air added or removed during pressure adjustments while the temperature adjustments are made. The data reflecting the air added or removed can come from sensed pressure data. Once the temperature adjustments are no longer being made and the user is detected as exiting the bed system (e.g., the sleep session ends), the computing system can determine an air-change-value based on the data reflecting air added or removed. The air-change-value can indicate a total mass of air to be added to or removed from the bed system after the user exits the bed system and before a next sleep session of the user. The air-change-value can indicate, for example, a total mass of air that was removed from the bed system when the pressure adjustments were made in response to the increase of the temperature of the bed system. The air-change-value can be used to determine a corrective pressure adjustment. The corrective pressure adjustment can, for example, be executed by a pump of the bed system to add, back into the bed system, the total mass of air that was removed from the bed system when the temperature adjustments were made. The corrective pressure adjustment can be used to return the pressure level of the bed system to a pressure level (i) before the user entered the bed system for the previous sleep session, (ii) before the temperature adjustments were made to the bed system during the previous sleep session, (iii) that corresponds to a user-desired firmness level, and/or (iv) that is closest to the user-desired firmness level. In some embodiments, the correct pressure adjustment may only need to be performed one time to return the system to the desired amount of air in the air chamber (or chambers) of the bed system.

Example Airbed Hardware

FIG. 1 shows an example air bed system 100 that includes a bed 112. The bed 112 can be a mattress that includes at least one air chamber 114 surrounded by a resilient border 116 and encapsulated by bed ticking 118. The resilient border 116 can comprise any suitable material, such as foam. In some embodiments, the resilient border 116 can combine with a top layer or layers of foam (not shown in FIG. 1) to form an upside down foam tub. In other embodiments, mattress structure can be varied as suitable for the application.

As illustrated in FIG. 1, the bed 112 can be a two chamber design having first and second fluid chambers, such as a first air chamber 114A and a second air chamber 114B. Sometimes, the bed 112 can include chambers for use with fluids other than air that are suitable for the application. In some embodiments, such as single beds or kids' beds, the bed 112 can include a single air chamber 114A or 114B or multiple air chambers 114A and 114B. Although not depicted, sometimes, the bed 112 can include additional air chambers.

The first and second air chambers 114A and 114B can be in fluid communication with a pump 120. The pump 120 can be in electrical communication with a remote control 122 via control box 124. The control box 124 can include a wired or wireless communications interface for communicating with one or more devices, including the remote control 122. The control box 124 can be configured to operate the pump 120 to cause increases and decreases in the fluid pressure of the first and second air chambers 114A and 114B based upon commands input by a user using the remote control 122. In some implementations, the control box 124 is integrated into a housing of the pump 120. Moreover, sometimes, the pump 120 can be in wireless communication (e.g., via a home network, WIFI, BLUETOOTH, or other wireless network) with a mobile device via the control box 124. The mobile device can include but is not limited to the user's smartphone, cell phone, laptop, tablet, computer, wearable device, home automation device, or other computing device. A mobile application can be presented at the mobile device and provide functionality for the user to control the bed 112 and view information about the bed 112. The user can input commands in the mobile application presented at the mobile device. The inputted commands can be transmitted to the control box 124, which can operate the pump 120 based upon the commands.

The remote control 122 can include a display 126, an output selecting mechanism 128, a pressure increase button 129, and a pressure decrease button 130. The remote control 122 can include one or more additional output selecting mechanisms and/or buttons. The display 126 can present information to the user about settings of the bed 112. For example, the display 126 can present pressure settings of both the first and second air chambers 114A and 114B or one of the first and second air chambers 114A and 114B. Sometimes, the display 126 can be a touch screen, and can receive input from the user indicating one or more commands to control pressure in the first and second air chambers 114A and 114B and/or other settings of the bed 112.

The output selecting mechanism 128 can allow the user to switch air flow generated by the pump 120 between the first and second air chambers 114A and 114B, thus enabling control of multiple air chambers with a single remote control 122 and a single pump 120. For example, the output selecting mechanism 128 can by a physical control (e.g., switch or button) or an input control presented on the display 126. Alternatively, separate remote control units can be provided for each air chamber 114A and 114B and can each include the ability to control multiple air chambers. Pressure increase and decrease buttons 129 and 130 can allow the user to increase or decrease the pressure, respectively, in the air chamber selected with the output selecting mechanism 128. Adjusting the pressure within the selected air chamber can cause a corresponding adjustment to the firmness of the respective air chamber. In some embodiments, the remote control 122 can be omitted or modified as appropriate for an application.

FIG. 2 is a block diagram of an example of various components of an air bed system. These components can be used in the example air bed system 100. The control box 124 can include a power supply 134, a processor 136, a memory 137, a switching mechanism 138, and an analog to digital (A/D) converter 140. The switching mechanism 138 can be, for example, a relay or a solid state switch. In some implementations, the switching mechanism 138 can be located in the pump 120 rather than the control box 124. The pump 120 and the remote control 122 can be in two-way communication with the control box 124. The pump 120 includes a motor 142, a pump manifold 143, a relief valve 144, a first control valve 145A, a second control valve 145B, and a pressure transducer 146. The pump 120 is fluidly connected with the first air chamber 114A and the second air chamber 114B via a first tube 148A and a second tube 148B, respectively. The first and second control valves 145A and 145B can be controlled by switching mechanism 138, and are operable to regulate the flow of fluid between the pump 120 and first and second air chambers 114A and 114B, respectively.

In some implementations, the pump 120 and the control box 124 can be provided and packaged as a single unit. In some implementations, the pump 120 and the control box 124 can be provided as physically separate units. The control box 124, the pump 120, or both can be integrated within or otherwise contained within a bed frame, foundation, or bed support structure that supports the bed 112. Sometimes, the control box 124, the pump 120, or both can be located outside of a bed frame, foundation, or bed support structure (as shown in the example in FIG. 1).

The air bed system 100 in FIG. 2 includes the two air chambers 114A and 114B and the single pump 120 of the bed 112 depicted in FIG. 1. However, other implementations can include an air bed system having two or more air chambers and one or more pumps incorporated into the air bed system to control the air chambers. For example, a separate pump can be associated with each air chamber. As another example, a pump can be associated with multiple chambers. A first pump can be associated with air chambers that extend longitudinally from a left side to a midpoint of the air bed system 100 and a second pump can be associated with air chambers that extend longitudinally from a right side to the midpoint of the air bed system 100. Separate pumps can allow each air chamber to be inflated or deflated independently and/or simultaneously. Additional pressure transducers can also be incorporated into the air bed system 100 such that a separate pressure transducer can be associated with each air chamber.

As an illustrative example, in use, the processor 136 can send a decrease pressure command to one of air chambers 114A or 114B, and the switching mechanism 138 can convert the low voltage command signals sent by the processor 136 to higher operating voltages sufficient to operate the relief valve 144 of the pump 120 and open the respective control valve 145A or 145B. Opening the relief valve 144 can allow air to escape from the air chamber 114A or 114B through the respective air tube 148A or 148B. During deflation, the pressure transducer 146 can send pressure readings to the processor 136 via the A/D converter 140. The A/D converter 140 can receive analog information from pressure transducer 146 and can convert the analog information to digital information useable by the processor 136. The processor 136 can send the digital signal to the remote control 122 to update the display 126 to convey the pressure information to the user. The processor 136 can also send the digital signal to other devices in wired or wireless communication with the air bed system, including but not limited to mobile devices described herein. The user can then view pressure information associated with the air bed system at their device instead of at, or in addition to, the remote control 122.

As another example, the processor 136 can send an increase pressure command. The pump motor 142 can be energized in response to the increase pressure command and send air to the designated one of the air chambers 114A or 114B through the air tube 148A or 148B via electronically operating the corresponding valve 145A or 145B. While air is being delivered to the designated air chamber 114A or 114B to increase the chamber firmness, the pressure transducer 146 can sense pressure within the pump manifold 143. The pressure transducer 146 can send pressure readings to the processor 136 via the A/D converter 140. The processor 136 can use the information received from the A/D converter 140 to determine the difference between the actual pressure in air chamber 114A or 114B and the desired pressure. The processor 136 can send the digital signal to the remote control 122 to update display 126.

Generally speaking, during an inflation or deflation process, the pressure sensed within the pump manifold 143 can provide an approximation of the actual pressure within the respective air chamber that is in fluid communication with the pump manifold 143. An example method includes turning off the pump 120, allowing the pressure within the air chamber 114A or 114B and the pump manifold 143 to equalize, then sensing the pressure within the pump manifold 143 with the pressure transducer 146. Providing a sufficient amount of time to allow the pressures within the pump manifold 143 and chamber 114A or 114B to equalize can result in pressure readings that are accurate approximations of actual pressure within air chamber 114A or 114B. In some implementations, the pressure of the air chambers 114A and/or 114B can be continuously monitored using multiple pressure sensors (not shown). The pressure sensors can be positioned within the air chambers. The pressure sensors can also be fluidly connected to the air chambers, such as along the air tubes 148A and 148B.

In some implementations, information collected by the pressure transducer 146 can be analyzed to determine various states of a user laying on the bed 112. For example, the processor 136 can use information collected by the pressure transducer 146 to determine a heartrate or a respiration rate for the user. As an illustrative example, the user can be laying on a side of the bed 112 that includes the chamber 114A. The pressure transducer 146 can monitor fluctuations in pressure of the chamber 114A, and this information can be used to determine the user's heartrate and/or respiration rate. As another example, additional processing can be performed using the collected data to determine a sleep state of the user (e.g., awake, light sleep, deep sleep). For example, the processor 136 can determine when the user falls asleep and, while asleep, the various sleep states (e.g., sleep stages) of the user. Based on the determined heartrate, respiration rate, and/or sleep states of the user, the processor 136 can determine information about the user's sleep quality. The processor 136 can, for example, determine how well the user slept during a particular sleep cycle. The processor 136 can also determine user sleep cycle trends. Accordingly, the processor 136 can generate recommendations to improve the user's sleep quality and overall sleep cycle. Information that is determined about the user's sleep cycle (e.g., heartrate, respiration rate, sleep states, sleep quality, recommendations to improve sleep quality, etc.) can be transmitted to the user's mobile device and presented in a mobile application, as described above.

Additional information associated with the user of the air bed system 100 that can be determined using information collected by the pressure transducer 146 includes user motion, presence on a surface of the bed 112, weight, heart arrhythmia, snoring, partner snore, and apnea. One or more other health conditions of the user can also be determined based on the information collected by the pressure transducer 146. Taking user presence detection for example, the pressure transducer 146 can be used to detect the user's presence on the bed 112, e.g., via a gross pressure change determination and/or via one or more of a respiration rate signal, heartrate signal, and/or other biometric signals. Detection of the user's presence can be beneficial to determine, by the processor 136, adjustment(s) to make to settings of the bed 112 (e.g., adjusting a firmness when the user is present to a user-preferred firmness setting) and/or peripheral devices (e.g., turning off lights when the user is present, activating a heating or cooling system, etc.).

For example, a simple pressure detection process can identify an increase in pressure as an indication that the user is present. As another example, the processor 136 can determine that the user is present if the detected pressure increases above a specified threshold (so as to indicate that a person or other object above a certain weight is positioned on the bed 112). As yet another example, the processor 136 can identify an increase in pressure in combination with detected slight, rhythmic fluctuations in pressure as corresponding to the user being present. The presence of rhythmic fluctuations can be identified as being caused by respiration or heart rhythm (or both) of the user. The detection of respiration or a heartbeat can distinguish between the user being present on the bed and another object (e.g., a suitcase, a pet, a pillow, etc.) being placed thereon.

In some implementations, pressure fluctuations can be measured at the pump 120. For example, one or more pressure sensors can be located within one or more internal cavities of the pump 120 to detect pressure fluctuations within the pump 120. The fluctuations detected at the pump 120 can indicate pressure fluctuations in the chambers 114A and/or 114B. One or more sensors located at the pump 120 can be in fluid communication with the chambers 114A and/or 114B, and the sensors can be operative to determine pressure within the chambers 114A and/or 114B. The control box 124 can be configured to determine at least one vital sign (e.g., heartrate, respiratory rate) based on the pressure within the chamber 114A or the chamber 114B.

The control box 124 can also analyze a pressure signal detected by one or more pressure sensors to determine a heartrate, respiration rate, and/or other vital signs of the user lying or sitting on the chamber 114A and/or 114B. More specifically, when a user lies on the bed 112 and is positioned over the chamber 114A, each of the user's heart beats, breaths, and other movements (e.g., hand, arm, leg, foot, or other gross body movements) can create a force on the bed 112 that is transmitted to the chamber 114A. As a result of this force input, a wave can propagate through the chamber 114A and into the pump 120. A pressure sensor located at the pump 120 can detect the wave, and thus the pressure signal outputted by the sensor can indicate a heartrate, respiratory rate, or other information regarding the user.

With regard to sleep state, the air bed system 100 can determine the user's sleep state by using various biometric signals such as heartrate, respiration, and/or movement of the user. While the user is sleeping, the processor 136 can receive one or more of the user's biometric signals (e.g., heartrate, respiration, motion, etc.) and can determine the user's present sleep state based on the received biometric signals. In some implementations, signals indicating fluctuations in pressure in one or both of the chambers 114A and 114B can be amplified and/or filtered to allow for more precise detection of heartrate and respiratory rate.

Sometimes, the processor 136 can receive additional biometric signals of the user from one or more other sensors or sensor arrays positioned on or otherwise integrated into the air bed system 100. For example, one or more sensors can be attached or removably attached to a top surface of the air bed system 100 and configured to detect signals such as heartrate, respiration rate, and/or motion. The processor 136 can combine biometric signals received from pressure sensors located at the pump 120, the pressure transducer 146, and/or the sensors positioned throughout the air bed system 100 to generate accurate and more precise information about the user and their sleep quality.

Sometimes, the control box 124 can perform a pattern recognition algorithm or other calculation based on the amplified and filtered pressure signal(s) to determine the user's heartrate and/or respiratory rate. For example, the algorithm or calculation can be based on assumptions that a heartrate portion of the signal has a frequency in a range of 0.5-4.0 Hz and that a respiration rate portion of the signal has a frequency in a range of less than 1 Hz. Sometimes, the control box 124 can use one or more machine learning models to determine the user's health information. The models can be trained using training data that includes training pressure signals and expected heartrates and/or respiratory rates. Sometimes, the control box 124 can determine user health information by using a lookup table that corresponds to sensed pressure signals.

The control box 124 can also be configured to determine other characteristics of the user based on the received pressure signal, such as blood pressure, tossing and turning movements, rolling movements, limb movements, weight, presence or lack of presence of the user, and/or the identity of the user.

For example, the pressure transducer 146 can be used to monitor the air pressure in the chambers 114A and 114B of the bed 112. If the user on the bed 112 is not moving, the air pressure changes in the air chamber 114A or 114B can be relatively minimal, and can be attributable to respiration and/or heartbeat. When the user on the bed 112 is moving, however, the air pressure in the mattress can fluctuate by a much larger amount. The pressure signals generated by the pressure transducer 146 and received by the processor 136 can be filtered and indicated as corresponding to motion, heartbeat, or respiration. The processor 136 can attribute such fluctuations in air pressure to the user's sleep quality. Such attributions can be determined based on applying one or more machine learning models and/or algorithms to the pressure signals. For example, if the user shifts and turns a lot during a sleep cycle (for example, in comparison to historic trends of the user's sleep cycles), the processor 136 can determine that the user experienced poor sleep during that particular sleep cycle.

In some implementations, rather than performing the data analysis in the control box 124 with the processor 136, a digital signal processor (DSP) can be provided to analyze the data collected by the pressure transducer 146. Alternatively, the collected data can be sent to a cloud-based computing system for remote analysis.

In some implementations, the example air bed system 100 further includes a temperature controller configured to increase, decrease, or maintain a temperature of the bed 112, for example for the comfort of the user. For example, a pad (e.g., mat, layer, etc.) can be placed on top of or be part of the bed 112, or can be placed on top of or be part of one or both of the chambers 114A and 114B. Air can be pushed through the pad and vented to cool off the user on the bed 112. Additionally or alternatively, the pad can include a heating element used to keep the user warm. In some implementations, the temperature controller can receive temperature readings from the pad. The temperature controller can determine whether the temperature readings are less than or greater than some threshold range and/or value. Based on this determination, the temperature controller can actuate components to push air through the pad to cool off the user or activate the heating element. In some implementations, separate pads are used for different sides of the bed 112 (e.g., corresponding to the locations of the chambers 114A and 114B) to provide for differing temperature control for the different sides of the bed 112. Each pad can be selectively controlled by the temperature controller to provide cooling or heating preferred by each user on the different sides of the bed 112. For example, a first user on a left side of the bed 112 can prefer to have their side of the bed 112 cooled during the night while a second user on a right side of the bed 112 can prefer to have their side of the bed 112 warmed during the night.

In some implementations, the user of the air bed system 100 can use an input device, such as the remote control 122 or a mobile device as described above, to input a desired temperature for a surface of the bed 112 (or for a portion of the surface of the bed 112, for example at a foot region, a lumbar or waist region, a shoulder region, and/or a head region of the bed 112). The desired temperature can be encapsulated in a command data structure that includes the desired temperature and also identifies the temperature controller as the desired component to be controlled. The command data structure can then be transmitted via Bluetooth or another suitable communication protocol (e.g., WIFI, a local network, etc.) to the processor 136. In various examples, the command data structure is encrypted before being transmitted. The temperature controller can then configure its elements to increase or decrease the temperature of the pad depending on the temperature input provided at the remote control 122 by the user.

In some implementations, data can be transmitted from a component back to the processor 136 or to one or more display devices, such as the display 126 of the remote controller 122. For example, the current temperature as determined by a sensor element of a temperature controller, the pressure of the bed, the current position of the foundation or other information can be transmitted to control box 124. The control box 124 can transmit this information to the remote control 122 to be displayed to the user (e.g., on the display 126). As described above, the control box 124 can also transmit the received information to a mobile device to be displayed in a mobile application or other graphical user interface (GUI) to the user.

In some implementations, the example air bed system 100 further includes an adjustable foundation and an articulation controller configured to adjust the position of the bed 112 by adjusting the adjustable foundation supporting the bed. For example, the articulation controller can adjust the bed 112 from a flat position to a position in which a head portion of a mattress of the bed is inclined upward (e.g., to facilitate a user sitting up in bed and/or watching television). The bed 112 can also include multiple separately articulable sections. As an illustrative example, the bed 112 can include one or more of a head portion, a lumbar/waist portion, a leg portion, and/or a foot portion, all of which can be separately articulable. As another example, portions of the bed 112 corresponding to the locations of the chambers 114A and 114B can be articulated independently from each other, to allow one user positioned on the bed 112 surface to rest in a first position (e.g., a flat position or other desired position) while a second user rests in a second position (e.g., a reclining position with the head raised at an angle from the waist or another desired position). Separate positions can also be set for two different beds (e.g., two twin beds placed next to each other). The foundation of the bed 112 can include more than one zone that can be independently adjusted.

Sometimes, the bed 112 can be adjusted to one or more user-defined positions based on user input and/or user preferences. For example, the bed 112 can automatically adjust, by the articulation controller, to one or more user-defined settings. As another example, the user can control the articulation controller to adjust the bed 112 to one or more user-defined positions. Sometimes, the bed 112 can be adjusted to one or more positions that may provide the user with improved or otherwise improve sleep and sleep quality. For example, a head portion on one side of the bed 112 can be automatically articulated, by the articulation controller, when one or more sensors of the air bed system 100 detect that a user sleeping on that side of the bed 112 is snoring. As a result, the user's snoring can be mitigated so that the snoring does not wake up another user sleeping in the bed 112.

In some implementations, the bed 112 can be adjusted using one or more devices in communication with the articulation controller or instead of the articulation controller. For example, the user can change positions of one or more portions of the bed 112 using the remote control 122 described above. The user can also adjust the bed 112 using a mobile application or other graphical user interface presented at a mobile computing device of the user.

The articulation controller can also provide different levels of massage to one or more portions of the bed 112 for one or more users. The user(s) can adjust one or more massage settings for the portions of the bed 112 using the remote control 122 and/or a mobile device in communication with the air bed system 100.

Example of a Bed in a Bedroom Environment

FIG. 3 shows an example environment 300 including a bed 302 in communication with devices located in and around a home. In the example shown, the bed 302 includes pump 304 for controlling air pressure within two air chambers 306a and 306b (as described above). The pump 304 additionally includes circuitry 334 for controlling inflation and deflation functionality performed by the pump 304. The circuitry 334 is programmed to detect fluctuations in air pressure of the air chambers 306a-b and use the detected fluctuations to identify bed presence of a user 308, the user's sleep state, movement, and biometric signals (e.g., heartrate, respiration rate). The detected fluctuations can also be used to detect when the user 308 is snoring and whether the user 308 has sleep apnea or other health conditions. The detected fluctuations can also be used to determine an overall sleep quality of the user 308.

In the example shown, the pump 304 is located within a support structure of the bed 302 and the control circuitry 334 for controlling the pump 304 is integrated with the pump 304. In some implementations, the control circuitry 334 is physically separate from the pump 304 and is in wireless or wired communication with the pump 304. In some implementations, the pump 304 and/or control circuitry 334 are located outside of the bed 302. In some implementations, various control functions can be performed by systems located in different physical locations. For example, circuitry for controlling actions of the pump 304 can be located within a pump casing of the pump 304 while control circuitry 334 for performing other functions associated with the bed 302 can be located in another portion of the bed 302, or external to the bed 302. The control circuitry 334 located within the pump 304 can also communicate with control circuitry 334 at a remote location through a LAN or WAN (e.g., the internet). The control circuitry 334 can also be included in the control box 124 of FIGS. 1 and 2.

In some implementations, one or more devices other than, or in addition to, the pump 304 and control circuitry 334 can be utilized to identify user bed presence, sleep state, movement, biometric signals, and other information (e.g., sleep quality, health related) about the user 308. For example, the bed 302 can include a second pump, with each pump connected to a respective one of the air chambers 306a-b. For example, the pump 304 can be in fluid communication with the air chamber 306b to control inflation and deflation of the air chamber 306b as well as detect user signals for a user located over the air chamber 306b. The second pump can be in fluid communication with the air chamber 306a and used to control inflation and deflation of the air chamber 306a as well as detect user signals for a user located over the air chamber 306a.

As another example, the bed 302 can include one or more pressure sensitive pads or surface portions operable to detect movement, including user presence, motion, respiration, and heartrate. A first pressure sensitive pad can be incorporated into a surface of the bed 302 over a left portion of the bed 302, where a first user would normally be located during sleep, and a second pressure sensitive pad can be incorporated into the surface of the bed 302 over a right portion of the bed 302, where a second user would normally be located. The movement detected by the pressure sensitive pad(s) or surface portion(s) can be used by control circuitry 334 to identify user sleep state, bed presence, or biometric signals for each user. The pressure sensitive pads can also be removable rather than incorporated into the surface of the bed 302.

The bed 302 can also include one or more temperature sensors and/or array of sensors operable to detect temperatures in microclimates of the bed 302. Detected temperatures in different microclimates of the bed 302 can be used by the control circuitry 334 to determine one or more modifications to the user 308's sleep environment. For example, a temperature sensor located near a core region of the bed 302 where the user 308 rests can detect high temperature values. Such high temperature values can indicate that the user 308 is warm. To lower the user's body temperature in this microclimate, the control circuitry 334 can determine that a cooling element of the bed 302 can be activated. As another example, the control circuitry 334 can determine that a cooling unit in the home can be automatically activated to cool an ambient temperature in the environment 300.

The control circuitry 334 can also process a combination of signals sensed by different sensors that are integrated into, positioned on, or otherwise in communication with the bed 112. For example, pressure and temperature signals can be processed by the control circuitry 334 to more accurately determine one or more health conditions of the user 308 and/or sleep quality of the user 308. Acoustic signals detected by one or more microphones or other audio sensors can also be used in combination with pressure or motion sensors in order to determine when the user 308 snores, whether the user 308 has sleep apnea, and/or overall sleep quality of the user 308. Combinations of one or more other sensed signals are also possible for the control circuitry 334 to more accurately determine one or more health and/or sleep conditions of the user 308.

Accordingly, information detected by one or more sensors or other components of the bed 112 (e.g., motion information) can be processed by the control circuitry 334 and provided to one or more user devices, such as a user device 310 for presentation to the user 308 or to other users. The information can be presented in a mobile application or other graphical user interface at the user device 310. The user 308 can view different information that is processed and/or determined by the control circuitry 334 and based the signals that are detected by components of the bed 302. For example, the user 308 can view their overall sleep quality for a particular sleep cycle (e.g., the previous night), historic trends of their sleep quality, and health information. The user 308 can also adjust one or more settings of the bed 302 (e.g., increase or decrease pressure in one or more regions of the bed 302, incline or decline different regions of the bed 302, turn on or off massage features of the bed 302, etc.) using the mobile application that is presented at the user device 310.

In the example depicted in FIG. 3, the user device 310 is a mobile phone; however, the user device 310 can also be any one of a tablet, personal computer, laptop, a smartphone, a smart television (e.g., a television 312), a home automation device, or other user device capable of wired or wireless communication with the control circuitry 334, one or more other components of the bed 302, and/or one or more devices in the environment 300. The user device 310 can be in communication with the control circuitry 334 of the bed 302 through a network or through direct point-to-point communication. For example, the control circuitry 334 can be connected to a LAN (e.g., through a WIFI router) and communicate with the user device 310 through the LAN. As another example, the control circuitry 334 and the user device 310 can both connect to the Internet and communicate through the Internet. For example, the control circuitry 334 can connect to the Internet through a WIFI router and the user device 310 can connect to the Internet through communication with a cellular communication system. As another example, the control circuitry 334 can communicate directly with the user device 310 through a wireless communication protocol, such as Bluetooth. As yet another example, the control circuitry 334 can communicate with the user device 310 through a wireless communication protocol, such as ZigBee, Z-Wave, infrared, or another wireless communication protocol suitable for the application. As another example, the control circuitry 334 can communicate with the user device 310 through a wired connection such as, for example, a USB connector, serial/RS232, or another wired connection suitable for the application.

As mentioned above, the user device 310 can display a variety of information and statistics related to sleep, or user 308's interaction with the bed 302. For example, a user interface displayed by the user device 310 can present information including amount of sleep for the user 308 over a period of time (e.g., a single evening, a week, a month, etc.), amount of deep sleep, ratio of deep sleep to restless sleep, time lapse between the user 308 getting into bed and falling asleep, total amount of time spent in the bed 302 for a given period of time, heartrate over a period of time, respiration rate over a period of time, or other information related to user interaction with the bed 302 by the user 308 or one or more other users. In some implementations, information for multiple users can be presented on the user device 310, for example information for a first user positioned over the air chamber 306a can be presented along with information for a second user positioned over the air chamber 306b. In some implementations, the information presented on the user device 310 can vary according to the age of the user 308 so that the information presented evolves with the age of the user 308.

The user device 310 can also be used as an interface for the control circuitry 334 of the bed 302 to allow the user 308 to enter information and/or adjust one or more settings of the bed 302. The information entered by the user 308 can be used by the control circuitry 334 to provide better information to the user 308 or to various control signals for controlling functions of the bed 302 or other devices. For example, the user 308 can enter information such as weight, height, and age of the user 308. The control circuitry 334 can use this information to provide the user 308 with a comparison of the user 308's tracked sleep information to sleep information of other people having similar weights, heights, and/or ages as the user 308. The control circuitry 334 can also use this information to accurately determine overall sleep quality and/or health of the user 308 based on information detected by components (e.g., sensors) of the bed 302.

The user 308 may also use the user device 310 as an interface for controlling air pressure of the air chambers 306a and 306b, various recline or incline positions of the bed 302, temperature of one or more surface temperature control devices of the bed 302, or for allowing the control circuitry 334 to generate control signals for other devices (as described below).

The control circuitry 334 may also communicate with other devices or systems, including but not limited to the television 312, a lighting system 314, a thermostat 316, a security system 318, home automation devices, and/or other household devices (e.g., an oven 322, a coffee maker 324, a lamp 326, a nightlight 328). Other examples of devices and/or systems include a system for controlling window blinds 330, devices for detecting or controlling states of one or more doors 332 (such as detecting if a door is open, detecting if a door is locked, or automatically locking a door), and a system for controlling a garage door 320 (e.g., control circuitry 334 integrated with a garage door opener for identifying an open or closed state of the garage door 320 and for causing the garage door opener to open or close the garage door 320). Communications between the control circuitry 334 and other devices can occur through a network (e.g., a LAN or the Internet) or as point-to-point communication (e.g., BLUETOOTH, radio communication, or a wired connection). Control circuitry 334 of different beds 302 can also communicate with different sets of devices. For example, a kid's bed may not communicate with and/or control the same devices as an adult bed. In some embodiments, the bed 302 can evolve with the age of the user such that the control circuitry 334 of the bed 302 communicates with different devices as a function of age of the user of that bed 302.

The control circuitry 334 can receive information and inputs from other devices/systems and use the received information and inputs to control actions of the bed 302 and/or other devices. For example, the control circuitry 334 can receive information from the thermostat 316 indicating a current environmental temperature for a house or room in which the bed 302 is located. The control circuitry 334 can use the received information (along with other information, such as signals detected from one or more sensors of the bed 302) to determine if a temperature of all or a portion of the surface of the bed 302 should be raised or lowered. The control circuitry 334 can then cause a heating or cooling mechanism of the bed 302 to raise or lower the temperature of the surface of the bed 302. The control circuitry 334 can also cause a heating or cooling unit of the house or room in which the bed 302 is located to raise or lower the ambient temperature surrounding the bed 302. Thus, by adjusting the temperature of the bed 302 and/or the room in which the bed 302 is located, the user 308 can experience more improved sleep quality and comfort.

As an example, the user 308 can indicate a desired sleeping temperature of 74 degrees while a second user of the bed 302 indicates a desired sleeping temperature of 72 degrees. The thermostat 316 can transmit signals indicating room temperature at predetermined times to the control circuitry 334. The thermostat 316 can also send a continuous stream of detected temperature values of the room to the control circuitry 334. The transmitted signal(s) can indicate to the control circuitry 334 that the current temperature of the bedroom is 72 degrees. The control circuitry 334 can identify that the user 308 has indicated a desired sleeping temperature of 74 degrees, and can accordingly send control signals to a heating pad located on the user 308's side of the bed to raise the temperature of the portion of the surface of the bed 302 where the user 308 is located until the user 308's desired temperature is achieved. Moreover, the control circuitry 334 can sent control signals to the thermostat 316 and/or a heating unit in the house to raise the temperature in the room in which the bed 302 is located.

The control circuitry 334 can generate control signals to control other devices and propagate the control signals to the other devices. The control signals can be generated based on information collected by the control circuitry 334, including information related to user interaction with the bed 302 by the user 308 and/or one or more other users. Information collected from other devices other than the bed 302 can also be used when generating the control signals. For example, information relating to environmental occurrences (e.g., environmental temperature, environmental noise level, and environmental light level), time of day, time of year, day of the week, or other information can be used when generating control signals for various devices in communication with the control circuitry 334 of the bed 302.

For example, information on the time of day can be combined with information relating to movement and bed presence of the user 308 to generate control signals for the lighting system 314. The control circuitry 334 can, based on detected pressure signals of the user 308 on the bed 302, determine when the user 308 is presently in the bed 302 and when the user 308 falls asleep. Once the control circuitry 334 determines that the user has fallen asleep, the control circuitry 334 can transmit control signals to the lighting system 314 to turn off lights in the room in which the bed 302 is located, to lower the window blinds 330 in the room, and/or to activate the nightlight 328. Moreover, the control circuitry 334 can receive input from the user 308 (e.g., via the user device 310) that indicates a time at which the user 308 would like to wake up. When that time approaches, the control circuitry 334 can transmit control signals to one or more devices in the environment 300 to control devices that may cause the user 308 to wake up. For example, the control signals can be sent to a home automation device that controls multiple devices in the home. The home automation device can be instructed, by the control circuitry 334, to raise the window blinds 330, turn off the nightlight 328, turn on lighting beneath the bed 302, start the coffee machine 324, change a temperature in the house via the thermostat 316, or perform some other home automation. The home automation device can also be instructed to activate an alarm that can cause the user 308 to wake up. Sometimes, the user 308 can input information at the user device 310 that indicates what actions can be taken by the home automation device or other devices in the environment 300.

In some implementations, rather than or in addition to providing control signals for other devices, the control circuitry 334 can provide collected information (e.g., information related to user movement, bed presence, sleep state, or biometric signals) to one or more other devices to allow the one or more other devices to utilize the collected information when generating control signals. For example, the control circuitry 334 of the bed 302 can provide information relating to user interactions with the bed 302 by the user 308 to a central controller (not shown) that can use the provided information to generate control signals for various devices, including the bed 302.

The central controller can, for example, be a hub device that provides a variety of information about the user 308 and control information associated with the bed 302 and other devices in the house. The central controller can include sensors that detect signals that can be used by the control circuitry 334 and/or the central controller to determine information about the user 308 (e.g., biometric or other health data, sleep quality). The sensors can detect signals including such as ambient light, temperature, humidity, volatile organic compound(s), pulse, motion, and audio. These signals can be combined with signals detected by sensors of the bed 302 to determine accurate information about the user 308's health and sleep quality. The central controller can provide controls (e.g., user-defined, presets, automated, user initiated) for the bed 302, determining and viewing sleep quality and health information, a smart alarm clock, a speaker or other home automation device, a smart picture frame, a nightlight, and one or more mobile applications that the user 308 can install and use at the central controller. The central controller can include a display screen that outputs information and receives user input. The display can output information such as the user 308's health, sleep quality, weather, security integration features, lighting integration features, heating and cooling integration features, and other controls to automate devices in the house. The central controller can operate to provide the user 308 with functionality and control of multiple different types of devices in the house as well as the user 308's bed 302.

As an illustrative example of FIG. 3, the control circuitry 334 integrated with the pump 304 can detect a feature of a mattress of the bed 302, such as an increase in pressure in the air chamber 306b, and use this detected increase to determine that the user 308 is present on the bed 302. The control circuitry 334 may also identify a heartrate or respiratory rate for the user 308 to identify that the increased pressure is due to a person sitting, laying, or resting on the bed 302, rather than an inanimate object (e.g., a suitcase) having been placed on the bed 302. In some implementations, the information indicating user bed presence can be combined with other information to identify a current or future likely state for the user 308. For example, a detected user bed presence at 11:00 am can indicate that the user is sitting on the bed (e.g., to tie her shoes, or to read a book) and does not intend to go to sleep, while a detected user bed presence at 10:00 pm can indicate that the user 308 is in bed for the evening and is intending to fall asleep soon. As another example, if the control circuitry 334 detects that the user 308 has left the bed 302 at 6:30 am (e.g., indicating that the user 308 has woken up for the day), and then later detects presence of the user 308 at 7:30 am on the bed 302, the control circuitry 334 can use this information that the newly detected presence is likely temporary (e.g., while the user 308 ties her shoes before heading to work) rather than an indication that the user 308 is intending to stay on the bed 302 for an extended period of time.

If the control circuitry 334 determines that the user 308 is likely to remain on the bed 302 for an extended period of time, the control circuitry 334 can determine one or more home automation controls that can aid the user 308 in falling asleep and experience improved sleep quality throughout the user 308's sleep cycle. For example, the control circuitry 334 can communicate with security system 318 to ensure that doors are locked. The control circuitry 334 can communicate with the oven 322 to ensure that the oven 322 is turned off. The control circuitry 334 can also communicate with the lighting system 314 to dim or otherwise turn off lights in the room in which the bed 302 is located and/or throughout the house, and the control circuitry 334 can communicate with the thermostat 316 to ensure that the house is at a desired temperature of the user 308. The control circuitry 334 can also determine one or more adjustments that can be made to the bed 302 to facilitate the user 308 falling asleep and staying asleep (e.g., changing a position of one or more regions of the bed 302, foot warming, massage features, pressure/firmness in one or more regions of the bed 302, etc.).

In some implementations, the control circuitry 334 may use collected information (including information related to user interaction with the bed 302 by the user 308, environmental information, time information, and user input) to identify use patterns for the user 308. For example, the control circuitry 334 can use information indicating bed presence and sleep states for the user 308 collected over a period of time to identify a sleep pattern for the user. The control circuitry 334 can identify that the user 308 generally goes to bed between 9:30 pm and 10:00 pm, generally falls asleep between 10:00 pm and 11:00 pm, and generally wakes up between 6:30 am and 6:45 am, based on information indicating user presence and biometrics for the user 308 collected over a week or a different time period. The control circuitry 334 can use identified patterns of the user 308 to better process and identify user interactions with the bed 302.

Given the above example user bed presence, sleep, and wake patterns for the user 308, if the user 308 is detected as being on the bed 302 at 3:00 pm, the control circuitry 334 can determine that the user 308's presence on the bed 302 is temporary, and use this determination to generate different control signals than if the control circuitry 334 determined the user 308 was in bed for the evening (e.g., at 3:00 pm, a head region of the bed 302 can be raised to facilitate reading or watching TV while in the bed 302, whereas in the evening, the bed 302 can be adjusted to a flat position to facilitate falling asleep). As another example, if the control circuitry 334 detects that the user 308 got out of bed at 3:00 am, the control circuitry 334 can use identified patterns for the user 308 to determine the user has gotten up temporarily (e.g., to use the bathroom, get a glass of water). The control circuitry 334 can turn on underbed lighting to assist the user 308 in carefully moving around the bed 302 and room. By contrast, if the control circuitry 334 identifies that the user 308 got out of the bed 302 at 6:40 am, the control circuitry 334 can determine the user 308 is up for the day and generate a different set of control signals (e.g., the control circuitry 334 can turn on lamp 326 near the bed 302 and/or raise the window blinds 330). For other users, getting out of the bed 302 at 3:00 am can be a normal wake-up time, which the control circuitry 334 can learn and respond to accordingly. Moreover, if the bed 302 is occupied by two users, the control circuitry 334 can learn and respond to the patterns of each of the users.

The bed 302 can also generate control signals based on communication with one or more devices. As an illustrative example, the control circuitry 334 can receive an indication from the television 312 that the television 312 is turned on. If the television 312 is located in a different room than the bed 302, the control circuitry 334 can generate a control signal to turn the television 312 off upon making a determination that the user 308 has gone to bed for the evening or otherwise is remaining in the room with the bed 302. If presence of the user 308 is detected on the bed 302 during a particular time range (e.g., between 8:00 pm and 7:00 am) and persists for longer than a threshold period of time (e.g., 10 minutes), the control circuitry 334 can determine the user 308 is in bed for the evening. If the television 312 is on, as described above, the control circuitry 334 can generate a control signal to turn the television 312 off. The control signals can be transmitted to the television (e.g., through a directed communication link or through a network, such as WIFI). As another example, rather than turning off the television 312 in response to detection of user bed presence, the control circuitry 334 can generate a control signal that causes the volume of the television 312 to be lowered by a pre-specified amount.

As another example, upon detecting that the user 308 has left the bed 302 during a specified time range (e.g., between 6:00 am and 8:00 am), the control circuitry 334 can generate control signals to cause the television 312 to turn on and tune to a pre-specified channel (e.g., the user 308 indicated a preference for watching morning news upon getting out of bed). The control circuitry 334 can accordingly generate and transmit the control signal to the television 312 (which can be stored at the control circuitry 334, the television 312, or another location). As another example, upon detecting that the user 308 has gotten up for the day, the control circuitry 334 can generate and transmit control signals to cause the television 312 to turn on and begin playing a previously recorded program from a digital video recorder (DVR) in communication with the television 312.

As another example, if the television 312 is in the same room as the bed 302, the control circuitry 334 may not cause the television 312 to turn off in response to detection of user bed presence. Rather, the control circuitry 334 can generate and transmit control signals to cause the television 312 to turn off in response to determining that the user 308 is asleep. For example, the control circuitry 334 can monitor biometric signals of the user 308 (e.g., motion, heartrate, respiration rate) to determine that the user 308 has fallen asleep. Upon detecting that the user 308 is sleeping, the control circuitry 334 generates and transmits a control signal to turn the television 312 off. As another example, the control circuitry 334 can generate the control signal to turn off the television 312 after a threshold period of time has passed since the user 308 has fallen asleep (e.g., 10 minutes after the user has fallen asleep). As another example, the control circuitry 334 generates control signals to lower the volume of the television 312 after determining that the user 308 is asleep. As yet another example, the control circuitry 334 generates and transmits a control signal to cause the television to gradually lower in volume over a period of time and then turn off in response to determining that the user 308 is asleep. Any of the control signals described above in reference to the television 312 can also be determined by the central controller previously described.

In some implementations, the control circuitry 334 can similarly interact with other media devices, such as computers, tablets, mobile phones, smart phones, wearable devices, stereo systems, etc. For example, upon detecting that the user 308 is asleep, the control circuitry 334 can generate and transmit a control signal to the user device 310 to cause the user device 310 to turn off, or turn down the volume on a video or audio file being played by the user device 310.

The control circuitry 334 can additionally communicate with the lighting system 314, receive information from the lighting system 314, and generate control signals for controlling functions of the lighting system 314. For example, upon detecting user bed presence on the bed 302 during a certain time frame (e.g., between 8:00 pm and 7:00 am) that lasts for longer than a threshold period of time (e.g., 10 minutes), the control circuitry 334 of the bed 302 can determine that the user 308 is in bed for the evening and generate control signals to cause lights in one or more rooms other than the room in which the bed 302 is located to switch off. The control circuitry 334 can generate and transmit control signals to turn off lights in all common rooms, but not in other bedrooms. As another example, the control signals can indicate that lights in all rooms other than the room in which the bed 302 is located are to be turned off, while one or more lights located outside of the house containing the bed 302 are to be turned on. The control circuitry 334 can generate and transmit control signals to cause the nightlight 328 to turn on in response to determining user 308 bed presence or that the user 308 is asleep. The control circuitry 334 can also generate first control signals for turning off a first set of lights (e.g., lights in common rooms) in response to detecting user bed presence, and second control signals for turning off a second set of lights (e.g., lights in the room where the bed 302 is located) when detecting that the user 308 is asleep.

In some implementations, in response to determining that the user 308 is in bed for the evening, the control circuitry 334 of the bed 302 can generate control signals to cause the lighting system 314 to implement a sunset lighting scheme in the room in which the bed 302 is located. A sunset lighting scheme can include, for example, dimming the lights (either gradually over time, or all at once) in combination with changing the color of the light in the bedroom environment, such as adding an amber hue to the lighting in the bedroom. The sunset lighting scheme can help to put the user 308 to sleep when the control circuitry 334 has determined that the user 308 is in bed for the evening. Sometimes, the control signals can cause the lighting system 314 to dim the lights or change color of the lighting in the bedroom environment, but not both.

The control circuitry 334 can also implement a sunrise lighting scheme when the user 308 wakes up in the morning. The control circuitry 334 can determine that the user 308 is awake for the day, for example, by detecting that the user 308 has gotten off the bed 302 (e.g., is no longer present on the bed 302) during a specified time frame (e.g., between 6:00 am and 8:00 am). The control circuitry 334 can also monitor movement, heartrate, respiratory rate, or other biometric signals of the user 308 to determine that the user 308 is awake or is waking up, even though the user 308 has not gotten out of bed. If the control circuitry 334 detects that the user is awake or waking up during a specified timeframe, the control circuitry 334 can determine that the user 308 is awake for the day. The specified timeframe can be, for example, based on previously recorded user bed presence information collected over a period of time (e.g., two weeks) that indicates that the user 308 usually wakes up for the day between 6:30 am and 7:30 am. In response to the control circuitry 334 determining that the user 308 is awake, the control circuitry 334 can generate control signals to cause the lighting system 314 to implement the sunrise lighting scheme in the bedroom in which the bed 302 is located. The sunrise lighting scheme can include, for example, turning on lights (e.g., the lamp 326, or other lights in the bedroom). The sunrise lighting scheme can further include gradually increasing the level of light in the room where the bed 302 is located (or in one or more other rooms). The sunrise lighting scheme can also include only turning on lights of specified colors. The sunrise lighting scheme can include lighting the bedroom with blue light to gently assist the user 308 in waking up and becoming active.

The control circuitry 334 may also generate different control signals for controlling actions of components depending on a time of day that user interactions with the bed 302 are detected. For example, the control circuitry 334 can use historical user interaction information to determine that the user 308 usually falls asleep between 10:00 pm and 11:00 pm and usually wakes up between 6:30 am and 7:30 am on weekdays. The control circuitry 334 can use this information to generate a first set of control signals for controlling the lighting system 314 if the user 308 is detected as getting out of bed at 3:00 am (e.g., turn on lights that guide the user 308 to a bathroom or kitchen) and to generate a second set of control signals for controlling the lighting system 314 if the user 308 is detected as getting out of bed after 6:30 am.

In some implementations, if the user 308 is detected as getting out of bed prior to a specified morning rise time for the user 308, the control circuitry 334 can cause the lighting system 314 to turn on lights that are dimmer than lights that are turned on by the lighting system 314 if the user 308 is detected as getting out of bed after the specified morning rise time. Causing the lighting system 314 to only turn on dim lights when the user 308 gets out of bed during the night (e.g., prior to normal rise time for the user 308) can prevent other occupants of the house from being woken up by the lights while still allowing the user 308 to see in order to reach their destination in the house.

The historical user interaction information for interactions between the user 308 and the bed 302 can be used to identify user sleep and awake timeframes. For example, user bed presence times and sleep times can be determined for a set period of time (e.g., two weeks, a month, etc.). The control circuitry 334 can identify a typical time range or timeframe in which the user 308 goes to bed, a typical timeframe for when the user 308 falls asleep, and a typical timeframe for when the user 308 wakes up (and in some cases, different timeframes for when the user 308 wakes up and when the user 308 actually gets out of bed). Buffer time may be added to these timeframes. For example, if the user is identified as typically going to bed between 10:00 pm and 10:30 pm, a buffer of a half hour in each direction can be added to the timeframe such that any detection of the user getting in bed between 9:30 pm and 11:00 pm is interpreted as the user 308 going to bed for the evening. As another example, detection of bed presence of the user 308 starting from a half hour before the earliest typical time that the user 308 goes to bed extending until the typical wake up time (e.g., 6:30 am) for the user 308 can be interpreted as the user 308 going to bed for the evening. For example, if the user 308 typically goes to bed between 10:00 pm and 10:30 pm, if the user 308's bed presence is sensed at 12:30 am one night, that can be interpreted as the user 308 getting into bed for the evening even though this is outside of the user 308's typical timeframe for going to bed because it has occurred prior to the user 308's normal wake up time. In some implementations, different timeframes are identified for different times of year (e.g., earlier bed time during winter vs. summer) or at different times of the week (e.g., user 308 wakes up earlier on weekdays than on weekends).

The control circuitry 334 can distinguish between the user 308 going to bed for an extended period (e.g., for the night) as opposed to being present on the bed 302 for a shorter period (e.g., for a nap) by sensing duration of presence of the user 308 (e.g., by detecting pressure and/or temperature signals of the user 308 on the bed 302 by sensors integrated into the bed 302). In some examples, the control circuitry 334 can distinguish between the user 308 going to bed for an extended period (e.g., for the night) versus going to bed for a shorter period (e.g., for a nap) by sensing duration of the user 308's sleep. The control circuitry 334 can set a time threshold whereby if the user 308 is sensed on the bed 302 for longer than the threshold, the user 308 is considered to have gone to bed for the night. In some examples, the threshold can be about 2 hours, whereby if the user 308 is sensed on the bed 302 for greater than 2 hours, the control circuitry 334 registers that as an extended sleep event. In other examples, the threshold can be greater than or less than two hours. The threshold can be determined based on historic trends indicating how long the user 308 usually sleeps or otherwise stays on the bed 302.

The control circuitry 334 can detect repeated extended sleep events to automatically determine a typical bed time range of the user 308, without requiring the user 308 to enter a bed time range. This can allow the control circuitry 334 to accurately estimate when the user 308 is likely to go to bed for an extended sleep event, regardless of whether the user 308 typically goes to bed using a traditional sleep schedule or a nontraditional sleep schedule. The control circuitry 334 can then use knowledge of the bed time range of the user 308 to control one or more components (including components of the bed 302 and/or non-bed peripherals) based on sensing bed presence during the bed time range or outside of the bed time range.

The control circuitry 334 can automatically determine the bed time range of the user 308 without requiring user inputs. The control circuitry 334 may also determine the bed time range automatically and in combination with user inputs (e.g., using signals sensed by sensors of the bed 302 and/or the central controller). The control circuitry 334 can set the bed time range directly according to user inputs. The control circuitry 334 can associate different bed times with different days of the week. In each of these examples, the control circuitry 334 can control components (e.g., the lighting system 314, thermostat 316, security system 318, oven 322, coffee maker 324, lamp 326, nightlight 328), as a function of sensed bed presence and the bed time range.

The control circuitry 334 can also determine control signals to be transmitted to the thermostat 316 based on user-inputted preferences and/or maintaining improved or preferred sleep quality of the user 308. For example, the control circuitry 334 can determine, based on historic sleep patterns and quality of the user 308 and by applying machine learning models, that the user 308 experiences their best sleep when the bedroom is at 74 degrees. The control circuitry 334 can receive temperature signals from devices and/or sensors in the bedroom indicating a bedroom temperature. When the temperature is below 74 degrees, the control circuitry 334 can determine control signals that cause the thermostat 316 to activate a heating unit to raise the temperature to 74 degrees in the bedroom. When the temperature is above 74 degrees, the control circuitry 334 can determine control signals that cause the thermostat 316 to activate a cooling unit to lower the temperature back to 74 degrees. Sometimes, the control circuitry 334 can determine control signals that cause the thermostat 316 to maintain the bedroom within a temperature range intended to keep the user 308 in particular sleep states and/or transition to next preferred sleep states.

Similarly, the control circuitry 334 can generate control signals to cause heating or cooling elements on the surface of the bed 302 to change temperature at various times, either in response to user interaction with the bed 302, at various preprogrammed times, based on user preference, and/or in response to detecting microclimate temperatures of the user 308 on the bed 302. For example, the control circuitry 334 can activate a heating element to raise the temperature of one side of the surface of the bed 302 to 73 degrees when it is detected that the user 308 has fallen asleep. As another example, upon determining that the user 308 is up for the day, the control circuitry 334 can turn off a heating or cooling element. The user 308 can preprogram various times at which the temperature at the bed surface should be raised or lowered. As another example, temperature sensors on the bed surface can detect microclimates of the user 308. When a detected microclimate drops below a predetermined threshold temperature, the control circuitry 334 can activate a heating element to raise the user 308's body temperature, thereby improving the user 308's comfort, maintaining their sleep cycle, transitioning the user 308 to a next preferred sleep state, and/or maintaining or improving the user 308's sleep quality.

In response to detecting user bed presence and/or that the user 308 is asleep, the control circuitry 334 can also cause the thermostat 316 to change the temperature in different rooms to different values. Other control signals are also possible, and can be based on user preference and user input. Moreover, the control circuitry 334 can receive temperature information from the thermostat 316 and use this information to control functions of the bed 302 or other devices (e.g., adjusting temperatures of heating elements of the bed 302, such as a foot warming pad). The control circuitry 334 may also generate and transmit control signals for controlling other temperature control systems, such as floor heating elements in the bedroom or other rooms.

The control circuitry 334 can communicate with the security system 318, receive information from the security system 318, and generate control signals for controlling functions of the security system 318. For example, in response to detecting that the user 308 in is bed for the evening, the control circuitry 334 can generate control signals to cause the security system 318 to engage or disengage security functions. As another example, the control circuitry 334 can generate and transmit control signals to cause the security system 318 to disable in response to determining that the user 308 is awake for the day (e.g., user 308 is no longer present on the bed 302).

The control circuitry 334 can also receive alerts from the security system 318 and indicate the alert to the user 308. For example, the security system can detect a security breach (e.g., someone opened the door 332 without entering the security code, someone opened a window when the security system 318 is engaged) and communicate the security breach to the control circuitry 334. The control circuitry 334 can then generate control signals to alert the user 308, such as causing the bed 302 to vibrate, causing portions of the bed 302 to articulate (e.g., the head section to raise or lower), causing the lamp 326 to flash on and off at regular intervals, etc. The control circuitry 334 can also alert the user 308 of one bed 302 about a security breach in another bedroom, such as an open window in a kid's bedroom. The control circuitry 334 can send an alert to a garage door controller (e.g., to close and lock the door). The control circuitry 334 can send an alert for the security to be disengaged. The control circuitry 334 can also set off a smart alarm or other alarm device/clock near the bed 302. The control circuitry 334 can transmit a push notification, text message, or other indication of the security breach to the user device 310. Also, the control circuitry 334 can transmit a notification of the security breach to the central controller, which can then determine one or more responses to the security breach.

The control circuitry 334 can additionally generate and transmit control signals for controlling the garage door 320 and receive information indicating a state of the garage door 320 (e.g., open or closed). The control circuitry 334 can also request information on a current state of the garage door 320. If the control circuitry 334 receives a response (e.g., from the garage door opener) that the garage door 320 is open, the control circuitry 334 can notify the user 308 that the garage door is open (e.g., by displaying a notification or other message at the user device 310, outputting a notification at the central controller), and/or generate a control signal to cause the garage door opener to close the door. The control circuitry 334 can also cause the bed 302 to vibrate, cause the lighting system 314 to flash lights in the bedroom, etc. Control signals can also vary depend on the age of the user 308. Similarly, the control circuitry 334 can similarly send and receive communications for controlling or receiving state information associated with the door 332 or the oven 322.

In some implementations, different alerts can be generated for different events. For example, the control circuitry 334 can cause the lamp 326 (or other lights, via the lighting system 314) to flash in a first pattern if the security system 318 has detected a breach, flash in a second pattern if garage door 320 is on, flash in a third pattern if the door 332 is open, flash in a fourth pattern if the oven 322 is on, and flash in a fifth pattern if another bed has detected that a user 308 of that bed has gotten up (e.g., a child has gotten out of bed in the middle of the night as sensed by a sensor in the child's bed). Other examples of alerts include a smoke detector detecting smoke (and communicating this detection to the control circuitry 334), a carbon monoxide tester, a heater malfunctioning, or an alert from another device capable of communicating with the control circuitry 334 and detecting an occurrence to bring to the user 308's attention.

The control circuitry 334 can also communicate with a system or device for controlling a state of the window blinds 330. For example, in response to determining that the user 308 is up for the day or that the user 308 set an alarm to wake up at a particular time, the control circuitry 334 can generate and transmit control signals to cause the window blinds 330 to open. By contrast, if the user 308 gets out of bed prior to a normal rise time for the user 308, the control circuitry 334 can determine that the user 308 is not awake for the day and may not generate control signals that cause the window blinds 330 to open. The control circuitry 334 can also generate and transmit control signals that cause a first set of blinds to close in response to detecting user bed presence and a second set of blinds to close in response to detecting that the user 308 is asleep.

As other examples, in response to determining that the user 308 is awake for the day, the control circuitry 334 can generate and transmit control signals to the coffee maker 324 to cause the coffee maker 324 to brew coffee. The control circuitry 334 can generate and transmit control signals to the oven 322 to cause the oven 322 to begin preheating. The control circuitry 334 can use information indicating that the user 308 is awake for the day along with information indicating that the time of year is currently winter and/or that the outside temperature is below a threshold value to generate and transmit control signals to cause a car engine block heater to turn on. The control circuitry 334 can generate and transmit control signals to cause devices to enter a sleep mode in response to detecting user bed presence, or in response to detecting that the user 308 is asleep (e.g., causing a mobile phone of the user 308 to switch into sleep or night mode so that notifications are muted to not disturb the user 308's sleep). Later, upon determining that the user 308 is up for the day, the control circuitry 334 can generate and transmit control signals to cause the mobile phone to switch out of sleep/night mode.

The control circuitry 334 can also communicate with one or more noise control devices. For example, upon determining that the user 308 is in bed for the evening, or that the user 308 is asleep (e.g., based on pressure signals received from the bed 302, audio/decibel signals received from audio sensors positioned on or around the bed 302), the control circuitry 334 can generate and transmit control signals to cause noise cancelation devices to activate. The noise cancelation devices can be part of the bed 302 or located in the bedroom. Upon determining that the user 308 is in bed for the evening or that the user 308 is asleep, the control circuitry 334 can generate and transmit control signals to turn the volume on, off, up, or down, for one or more sound generating devices, such as a stereo system radio, television, computer, tablet, mobile phone, etc.

Additionally, functions of the bed 302 can be controlled by the control circuitry 334 in response to user interactions. For example, the articulation controller can adjust the bed 302 from a flat position to a position in which a head portion of a mattress of the bed 302 is inclined upward (e.g., to facilitate a user sitting up in bed, reading, and/or watching television). Sometimes, the bed 302 includes multiple separately articulable sections. Portions of the bed corresponding to the locations of the air chambers 306a and 306b can be articulated independently from each other, to allow one person to rest in a first position (e.g., a flat position) while a second person rests in a second position (e.g., a reclining position with the head raised at an angle from the waist). Separate positions can be set for two different beds (e.g., two twin beds placed next to each other). The foundation of the bed 302 can include more than one zone that can be independently adjusted. The articulation controller can also provide different levels of massage to one or more users on the bed 302 or cause the bed to vibrate to communicate alerts to the user 308 as described above.

The control circuitry 334 can adjust positions (e.g., incline and decline positions for the user 308 and/or an additional user) in response to user interactions with the bed 302 (e.g., causing the articulation controller to adjust to a first recline position in response to sensing user bed presence). The control circuitry 334 can cause the articulation controller to adjust the bed 302 to a second recline position (e.g., a less reclined, or flat position) in response to determining that the user 308 is asleep. As another example, the control circuitry 334 can receive a communication from the television 312 indicating that the user 308 has turned off the television 312, and in response, the control circuitry 334 can cause the articulation controller to adjust the bed position to a preferred user sleeping position (e.g., due to the user turning off the television 312 while the user 308 is in bed indicating the user 308 wishes to go to sleep).

In some implementations, the control circuitry 334 can control the articulation controller to wake up one user without waking another user of the bed 302. For example, the user 308 and a second user can each set distinct wakeup times (e.g., 6:30 am and 7:15 am respectively). When the wakeup time for the user 308 is reached, the control circuitry 334 can cause the articulation controller to vibrate or change the position of only a side of the bed on which the user 308 is located. When the wakeup time for the second user is reached, the control circuitry 334 can cause the articulation controller to vibrate or change the position of only the side of the bed on which the second user is located. Alternatively, when the second wakeup time occurs, the control circuitry 334 can utilize other methods (such as audio alarms, or turning on the lights) to wake the second user since the user 308 is already awake and therefore will not be disturbed when the control circuitry 334 attempts to wake the second user.

Still referring to FIG. 3, the control circuitry 334 for the bed 302 can utilize information for interactions with the bed 302 by multiple users to generate control signals for controlling functions of various other devices. For example, the control circuitry 334 can wait to generate control signals for devices until both the user 308 and a second user are detected in the bed 302. The control circuitry 334 can generate a first set of control signals to cause the lighting system 314 to turn off a first set of lights upon detecting bed presence of the user 308 and generate a second set of control signals for turning off a second set of lights in response to detecting bed presence of a second user. The control circuitry 334 can also wait until it has been determined that both users are awake for the day before generating control signals to open the window blinds 330. One or more other home automation control signals can be determined and generated by the control circuitry 334, the user device 310, and/or the central controller.

Examples of Data Processing Systems Associated with a Bed

Described are example systems and components for data processing tasks that are, for example, associated with a bed. In some cases, multiple examples of a particular component or group of components are presented. Some examples are redundant and/or mutually exclusive alternatives. Connections between components are shown as examples to illustrate possible network configurations for allowing communication between components. Different formats of connections can be used as technically needed/desired. The connections generally indicate a logical connection that can be created with any technologically feasible format. For example, a network on a motherboard can be created with a printed circuit board, wireless data connections, and/or other types of network connections. Some logical connections are not shown for clarity (e.g., connections with power supplies and/or computer readable memory).

FIG. 4A is a block diagram of an example data processing system 400 that can be associated with a bed system, including those described above (e.g., see FIGS. 1-3). The system 400 includes a pump motherboard 402 and a pump daughterboard 404. The system 400 includes a sensor array 406 having one or more sensors configured to sense physical phenomenon of the environment and/or bed, and to report sensing back to the pump motherboard 402 (e.g., for analysis). The sensor array 406 can include one or more different types of sensors, including but not limited to pressure, temperature, light, movement (e.g., motion), and audio. The system 400 also includes a controller array 408 that can include one or more controllers configured to control logic-controlled devices of the bed and/or environment (e.g., home automation devices, security systems light systems, and other devices described in FIG. 3). The pump motherboard 402 can be in communication with computing devices 414 and cloud services 410 over local networks (e.g., Internet 412) or otherwise as is technically appropriate.

In FIG. 4A, the pump motherboard 402 and daughterboard 404 are communicably coupled. They can be conceptually described as a center or hub of the system 400, with the other components conceptually described as spokes of the system 400. This can mean that each spoke component communicates primarily or exclusively with the pump motherboard 402. For example, a sensor of the sensor array 406 may not be configured to, or may not be able to, communicate directly with a corresponding controller. Instead, the sensor can report a sensor reading to the motherboard 402, and the motherboard 402 can determine that, in response, a controller of the controller array 408 should adjust some parameters of a logic controlled device or otherwise modify a state of one or more peripheral devices.

One advantage of a hub-and-spoke network configuration, or a star-shaped network, is a reduction in network traffic compared to, for example, a mesh network with dynamic routing. If a particular sensor generates a large, continuous stream of traffic, that traffic is transmitted over one spoke to the motherboard 402. The motherboard 402 can marshal and condense that data to a smaller data format for retransmission for storage in a cloud service 410. Additionally or alternatively, the motherboard 402 can generate a single, small, command message to be sent down a different spoke in response to the large stream. For example, if the large stream of data is a pressure reading transmitted from the sensor array 406 a few times a second, the motherboard 402 can respond with a single command message to the controller array 408 to increase the pressure in an air chamber of the bed. In this case, the single command message can be orders of magnitude smaller than the stream of pressure readings.

As another advantage, a hub-and-spoke network configuration can allow for an extensible network that accommodates components being added, removed, failing, etc. This can allow more, fewer, or different sensors in the sensor array 406, controllers in the controller array 408, computing devices 414, and/or cloud services 410. For example, if a particular sensor fails or is deprecated by a newer version, the system 400 can be configured such that only the motherboard 402 needs to be updated about the replacement sensor. This can allow product differentiation where the same motherboard 402 can support an entry level product with fewer sensors and controllers, a higher value product with more sensors and controllers, and customer personalization where a customer can add their own selected components to the system 400.

Additionally, a line of air bed products can use the system 400 with different components. In an application in which every air bed in the product line includes both a central logic unit and a pump, the motherboard 402 (and optionally the daughterboard 404) can be designed to fit within a single, universal housing. For each upgrade of the product in the product line, additional sensors, controllers, cloud services, etc., can be added. Design, manufacturing, and testing time can be reduced by designing all products in a product line from this base, compared to a product line in which each product has a bespoke logic control system.

Each of the components discussed above can be realized in a wide variety of technologies and configurations. Below, some examples of each component are discussed. Sometimes, two or more components of the system 400 can be realized in a single alternative component; some components can be realized in multiple, separate components; and/or some functionality can be provided by different components.

FIG. 4B is a block diagram showing communication paths of the system 400. As described, the motherboard 402 and daughterboard 404 may act as a hub of the system 400. When the pump daughterboard 404 communicates with cloud services 410 or other components, communications may be routed through the motherboard 402. This may allow the bed to have a single connection with the Internet 412. The computing device 414 may also have a connection to the Internet 412, possibly through the same gateway used by the bed and/or a different gateway (e.g., a cell service provider).

In FIG. 4B, cloud services 410d and 410e may be configured such that the motherboard 402 communicates with the cloud service directly (e.g., without having to use another cloud service 410 as an intermediary). Additionally or alternatively, some cloud services 410 (e.g., 410f) may only be reachable by the motherboard 402 through an intermediary cloud service (e.g., 410e). While not shown here, some cloud services 410 may be reachable either directly or indirectly by the pump motherboard 402.

Additionally, some or all of the cloud services 410 may communicate with other cloud services, including the transfer of data and/or remote function calls according to any technologically appropriate format. For example, one cloud service 410 may request a copy for another cloud service's 410 data (e.g., for purposes of backup, coordination, migration, calculations, data mining). Many cloud services 410 may also contain data that is indexed according to specific users tracked by the user account cloud 410c and/or the bed data cloud 410a. These cloud services 410 may communicate with the user account cloud 410c and/or the bed data cloud 410a when accessing data specific to a particular user or bed.

FIG. 5 is a block diagram of an example motherboard 402 in a data processing system associated with a bed system (e.g., refer to FIGS. 1-3). In this example, compared to other examples described below, this motherboard 402 consists of relatively fewer parts and can be limited to provide a relatively limited feature set.

The motherboard 402 includes a power supply 500, a processor 502, and computer memory 512. In general, the power supply 500 includes hardware used to receive electrical power from an outside source and supply it to components of the motherboard 402. The power supply may include a battery pack and/or wall outlet adapter, an AC to DC converter, a DC to AC converter, a power conditioner, a capacitor bank, and/or one or more interfaces for providing power in the current type, voltage, etc., needed by other components of the motherboard 402.

The processor 502 is generally a device for receiving input, performing logical determinations, and providing output. The processor 502 can be a central processing unit, a microprocessor, general purpose logic circuitry, application-specific integrated circuitry, a combination of these, and/or other hardware.

The memory 512 is generally one or more devices for storing data, which may include long term stable data storage (e.g., on a hard disk), short term unstable (e.g., on Random Access Memory), or any other technologically appropriate configuration.

The motherboard 402 includes a pump controller 504 and a pump motor 506. The pump controller 504 can receive commands from the processor 502 to control functioning of the pump motor 506. For example, the pump controller 504 can receive a command to increase pressure of an air chamber by 0.3 pounds per square inch (PSI). The pump controller 504, in response, engages a valve so that the pump motor 506 pumps air into the selected air chamber, and can engage the pump motor 506 for a length of time that corresponds to 0.3 PSI or until a sensor indicates that pressure has been increased by 0.3 PSI. Sometimes, the message can specify that the chamber should be inflated to a target PSI, and the pump controller 504 can engage the pump motor 506 until the target PSI is reached.

A valve solenoid 508 can control which air chamber a pump is connected to. In some cases, the solenoid 508 can be controlled by the processor 502 directly. In some cases, the solenoid 508 can be controlled by the pump controller 504.

A remote interface 510 of the motherboard 402 can allow the motherboard 402 to communicate with other components of a data processing system. For example, the motherboard 402 can be able to communicate with one or more daughterboards, with peripheral sensors, and/or with peripheral controllers through the remote interface 510. The remote interface 510 can provide any technologically appropriate communication interface, including but not limited to multiple communication interfaces such as WIFI, Bluetooth, and copper wired networks.

FIG. 6 is a block diagram of another example motherboard 402. Compared to the motherboard 402 in FIG. 5, the motherboard 402 in FIG. 6 can contain more components and provide more functionality in some applications.

This motherboard 402 can further include a valve controller 600, a pressure sensor 602, a universal serial bus (USB) stack 604, a WiFi radio 606, a Bluetooth Low Energy (BLE) radio 608, a ZigBee radio 610, a Bluetooth radio 612, and a computer memory 512.

The valve controller 600 can convert commands from the processor 502 into control signals for the valve solenoid 508. For example, the processor 502 can issue a command to the valve controller 600 to connect the pump to a particular air chamber out of a group of air chambers in an air bed. The valve controller 600 can control the position of the valve solenoid 508 so the pump is connected to the indicated air chamber.

The pressure sensor 602 can read pressure readings from one or more air chambers of the air bed. The pressure sensor 602 can also preform digital sensor conditioning. As described herein, multiple pressure sensors 602 can be included as part of the motherboard 402 or otherwise in communication with the motherboard 402.

The motherboard 402 can include a suite of network interfaces 604, 606, 608, 610, 612, etc., including but not limited to those shown in FIG. 6. These network interfaces can allow the motherboard to communicate over a wired or wireless network with any devices, including but not limited to peripheral sensors, peripheral controllers, computing devices, and devices and services connected to the Internet 412.

FIG. 7 is a block diagram of an example daughterboard 404 used in a data processing system associated with a bed system described herein. One or more daughterboards 404 can be connected to the motherboard 402. Some daughterboards 404 can be designed to offload particular and/or compartmentalized tasks from the motherboard 402. This can be advantageous if the particular tasks are computationally intensive, proprietary, or subject to future revisions. For example, the daughterboard 404 can be used to calculate a particular sleep data metric. This metric can be computationally intensive, and calculating the metric on the daughterboard 404 can free up resources of the motherboard 402 while the metric is calculated. The sleep metric may be subject to future revisions. To update the system 400 with the new metric, it is possible that only the daughterboard 404 calculates the metric to be replaced. In this case, the same motherboard 402 and other components can be used, saving the need to perform unit testing of additional components instead of just the daughterboard 404.

The daughterboard 404 includes a power supply 700, a processor 702, computer readable memory 704, a pressure sensor 706, and a WiFi radio 708. The processor 702 can use the pressure sensor 706 to gather information about pressure of air bed chambers. The processor 702 can perform an algorithm to calculate a sleep metric (e.g., sleep quality, bed presence, whether the user fell asleep, a heartrate, a respiration rate, movement, etc.). Sometimes, the sleep metric can be calculated from only air chamber pressure. The sleep metric can also be calculated using signals from a variety of sensors (e.g., movement, pressure, temperature, and/or audio sensors). The processor 702 can receive that data from sensors that may be internal to the daughterboard 404, accessible via the WiFi radio 708, or otherwise in communication with the processor 702. Once the sleep metric is calculated, the processor 702 can report that sleep metric to, for example, the motherboard 402. The motherboard 402 can generate instructions for outputting the sleep metric to the user or using the sleep metric to determine other user information or controls to control the bed and/or peripheral devices.

FIG. 8 is a block diagram of an example motherboard 800 with no daughterboard used in a data processing system associated with a bed system. In this example, the motherboard 800 can perform most, all, or more of the features described with reference to the motherboard 402 in FIG. 6 and the daughterboard 404 in FIG. 7.

FIG. 9A is a block diagram of an example sensory array 406 used in a data processing system associated with a bed system described herein. The sensor array 406 is a conceptual grouping of some or all peripheral sensors that communicate with the motherboard 402 but are not native to the motherboard 402. The peripheral sensors 902, 904, 906, 908, 910, etc. of the sensor array 406 communicate with the motherboard 402 through one or more network interfaces 604, 606, 608, 610, and 612 of the motherboard, as is appropriate for the configuration of the particular sensor. For example, a sensor that outputs a reading over a USB cable can communicate through the USB stack 604.

Some peripheral sensors of the sensor array 406 can be bed mounted sensors 900 (e.g., temperature sensor 906, light sensor 908, sound sensor 910). The bed mounted sensors 900 can be embedded into a bed structure and sold with the bed, or later affixed to the structure (e.g., part of a pressure sensing pad that is removably installed on a top surface of the bed, part of a temperature sensing or heating pad that is removably installed on the top surface of the bed, integrated into the top surface, attached along connecting tubes between a pump and air chambers, within air chambers, attached to a headboard, attached to one or more regions of an adjustable foundation). One or more of the sensors 902 can be load cells or force sensors as described in FIG. 9C. Other sensors 902 and 904 may not be mounted to the bed and can include a pressure sensor 902 and/or peripheral sensor 904. For example, the sensors 902 and 904 can be integrated or otherwise part of a user mobile device (e.g., mobile phone, wearable device). The sensors 902 and 904 can also be part of a central controller for controlling the bed and peripheral devices. Sometimes, the sensors 902 and 904 can be part of one or more home automation devices or other peripheral devices.

Sometimes, some or all of the bed mounted sensors 900 and/or sensors 902 and 904 share networking hardware (e.g., a conduit that contains wires from each sensor, a multi-wire cable or plug that, when affixed to the motherboard 402, connect all the associated sensors with the motherboard 402). One, some, or all the sensors 902, 904, 906, 908, and 910 can sense features of a mattress (e.g., pressure, temperature, light, sound, and/or other features) and features external to the mattress. Sometimes, pressure sensor 902 can sense pressure of the mattress while some or all the sensors 902, 904, 906, 908, and 910 sense features of the mattress and/or features external to the mattress.

FIG. 9B is a schematic top view of a bed 920 having a sensor strip 932 with sensors 934A-N used in a data processing system associated with the bed 920. The bed 920 includes a mattress 922 (e.g., refer to FIG. 1). The mattress 922 can have a foam tub 930 beneath a top of the mattress 922. The foam tub 930 can have air chamber 923A and/or 923B, similar to those described herein.

The sensor strip 932 can be attached across the mattress top 924 from one lateral side to an opposing lateral side (e.g., from left to right). The sensor strip 932 can be attached proximate to a head section of the mattress 922 to measure temperature and/or humidity values around a chest area of a user 936. The sensor strip 932 can also be placed at a center point (e.g., midpoint) of the mattress 922 such that the distances 938 and 940 are equal to each other. The sensor strip 932 can be placed at other locations to capture temperature and/or humidity values at the top of the mattress 922.

The sensors 934A-N can be any one or more of the temperature sensors 906 described in FIG. 9A. The sensor strip 932 can also include a carrier strip 933 having a first strip portion 933A and a second strip portion 933B. The carrier strip 933 can be releasably attached to the foam tub layer and extend between the opposite lateral ends of the foam tub. The sensor strip 932 can have first sensors 934A-N and second sensors 934A-N. Each of the first and second sensors 934A-N can have five sensors each. For example, a sensor strip 932 for a king or queen size mattress can have a total of ten sensors. When the user 936 is positioned on top of the mattress 922 over the air chamber 923A, the first sensors 934A-N can measure temperature and/or humidity of the mattress top 924 above the air chamber 923A. Those values can be used to, for example, determine a conditioned airflow to supply to the air chamber 923A. Temperature and/or humidity values measured by the second sensors 934A-N can be used to, for example, determine a conditioned airflow to supply to the air chamber 923B. The bed system 920 can provide for custom airflow to different portions of the mattress 922 based on body temperatures of users and/or temperatures of different portions of the mattress top 924.

Sometimes, two separate sensor strips can be attached to the mattress 922 (e.g., a first sensor strip over the air chamber 923A and a second sensor strip, separate from the first sensor strip, over the air chamber 923B). The first and second sensor strips can be attached to a center of the mattress top 924 via fastening elements, such as adhesive. The sensor strip 932 can also be easily replaced with another sensor strip.

FIG. 9C is a schematic diagram of an example bed with force sensors 955 located at the bottom of legs 953 of the bed (e.g., in four, six, eight, or another number of legs). The force sensors 955 may also be located elsewhere on the bed with similar effect (e.g., between the legs 953 and platform 950). When a strain gauge is used as the force sensors 955, the force sensor(s) 955 can be positioned nearer centers of the legs 953. The force sensors 955 can be load cells.

FIG. 10 is a block diagram of an example controller array 408 used in a data processing system associated with a bed system. The controller array 408 is a conceptual grouping of some or all peripheral controllers that communicate with the motherboard 402 but are not native to the motherboard 402. The peripheral controllers can communicate with the motherboard 402 through one or more of the network interfaces 604, 606, 608, 610, and 612 of the motherboard, as is appropriate for the configuration of the particular controller. Some of the controllers can be bed mounted controllers 1000, such as a temperature controller 1006, a light controller 1008, and a speaker controller 1010, as described in reference to bed-mounted sensors in FIG. 9A. Peripheral controllers 1002 and 1004 can be in communication with the motherboard 402, but optionally not mounted to the bed.

FIG. 11 is a block diagram of an example computing device 414 used in a data processing system associated with a bed system. The computing device 414 can include computing devices used by a user of a bed including but not limited to mobile computing devices (e.g., mobile phones, tablet computers, laptops, smart phones, wearable devices), desktop computers, home automation devices, and/or central controllers or other hub devices.

The computing device 414 includes a power supply 1100, a processor 1102, and computer readable memory 1104. User input and output can be transmitted by speakers 1106, a touchscreen 1108, or other not shown components (e.g., a pointing device or keyboard). The computing device 414 can run applications 1110 including, for example, applications to allow the user to interact with the system 400. These applications can allow a user to view information about the bed (e.g., sensor readings, sleep metrics), information about themselves (e.g., health conditions detected based on signals sensed at the bed), and/or configure the system 400 behavior (e.g., set desired firmness, set desired behavior for peripheral devices). The computing device 414 can be used in addition to, or to replace, the remote control 122 described above.

FIG. 12 is a block diagram of an example bed data cloud service 410a used in a data processing system associated with a bed system. Here, the bed data cloud service 410a is configured to collect sensor data and sleep data from a particular bed, and to match the data with one or more users that used the bed when the data was generated.

The bed data cloud service 410a includes a network interface 1200, a communication manager 1202, server hardware 1204, and server system software 1206. The bed data cloud service 410a is also shown with a user identification module 1208, a device management 1210 module, a sensor data module 1212, and an advanced sleep data module 1214. The network interface 1200 includes hardware and low level software to allow hardware devices (e.g., components of the service 410a) to communicate over networks (e.g., with each other, with other destinations over the Internet 412). The network interface 1200 can include network cards, routers, modems, and other hardware. The communication manager 1202 generally includes hardware and software that operate above the network interface 1200 such as software to initiate, maintain, and tear down network communications used by the service 410a (e.g., TCP/IP, SSL or TLS, Torrent, and other communication sessions over local or wide area networks). The communication manager 1202 can also provide load balancing and other services to other elements of the service 410a. The server hardware 1204 generally includes physical processing devices used to instantiate and maintain the service 410a. This hardware includes, but is not limited to, processors (e.g., central processing units, ASICs, graphical processers) and computer readable memory (e.g., random access memory, stable hard disks, tape backup). One or more servers can be configured into clusters, multicomputer, or datacenters that can be geographically separate or connected. The server system software 1206 generally includes software that runs on the server hardware 1204 to provide operating environments to applications and services (e.g., operating systems running on real servers, virtual machines instantiated on real servers to create many virtual servers, server level operations such as data migration, redundancy, and backup).

The user identification 1208 can include, or reference, data related to users of beds with associated data processing systems. The users may include customers, owners, or other users registered with the service 410a or another service. Each user can have a unique identifier, user credentials, contact information, billing information, demographic information, or any other technologically appropriate information.

The device manager 1210 can include, or reference, data related to beds or other products associated with data processing systems. The beds can include products sold or registered with a system associated with the service 410a. Each bed can have a unique identifier, model and/or serial number, sales information, geographic information, delivery information, a listing of associated sensors and control peripherals, etc. An index or indexes stored by the service 410a can identify users associated with beds. This index can record sales of a bed to a user, users that sleep in a bed, etc.

The sensor data 1212 can record raw or condensed sensor data recorded by beds with associated data processing systems. For example, a bed's data processing system can have temperature, pressure, motion, audio, and/or light sensors. Readings from these sensors, either in raw form or in a format generated from the raw data (e.g., sleep metrics), can be communicated by the bed's data processing system to the service 410a for storage in the sensor data 1212. An index or indexes stored by the service 410a can identify users and/or beds associated with the sensor data 1212.

The service 410a can use any of its available data (e.g., sensor data 1212) to generate advanced sleep data 1214. The advanced sleep data 1214 includes sleep metrics and other data generated from sensor readings (e.g., health information). Some of these calculations can be performed in the service 410a instead of locally on the bed's data processing system because the calculations can be computationally complex or require a large amount of memory space or processor power that may not be available on the bed's data processing system. This can help allow a bed system to operate with a relatively simple controller while being part of a system that performs relatively complex tasks and computations.

For example, the service 410a can retrieve one or more machine learning models from a remote data store and use those models to determine the advanced sleep data 1214. The service 410a can retrieve one or more models to determine overall sleep quality of the user based on currently detected sensor data 1212 and/or historic sensor data. The service 410a can retrieve other models to determine whether the user is snoring based on the detected sensor data 1212. The service 410a can retrieve other models to determine whether the user experiences a health condition based on the data 1212.

FIG. 13 is a block diagram of an example sleep data cloud service 410b used in a data processing system associated with a bed system. Here, the sleep data cloud service 410b is configured to record data related to users' sleep experience. The service 410b includes a network interface 1300, a communication manager 1302, server hardware 1304, and server system software 1306. The service 410b also includes a user identification module 1308, a pressure sensor manager 1310, a pressure based sleep data module 1312, a raw pressure sensor data module 1314, and a non-pressure sleep data module 1316. Sometimes, the service 410b can include a sensor manager for each sensor. The service 410b can also include a sensor manager that relates to multiple sensors in beds (e.g., a single sensor manager can relate to pressure, temperature, light, movement, and audio sensors in a bed).

The pressure sensor manager 1310 can include, or reference, data related to the configuration and operation of pressure sensors in beds. This data can include an identifier of the types of sensors in a particular bed, their settings and calibration data, etc. The pressure based sleep data 1312 can use raw pressure sensor data 1314 to calculate sleep metrics tied to pressure sensor data. For example, user presence, movements, weight change, heartrate, and breathing rate can be determined from raw pressure sensor data 1314. An index or indexes stored by the service 410b can identify users associated with pressure sensors, raw pressure sensor data, and/or pressure based sleep data. The non-pressure sleep data 1316 can use other sources of data to calculate sleep metrics. User-entered preferences, light sensor readings, and sound sensor readings can be used to track sleep data. User presence can also be determined from a combination of raw pressure sensor data 1314 and non-pressure sleep data 1316 (e.g., raw temperature data). Sometimes, bed presence can be determined using only the temperature data. Changes in temperature data can be monitored to determine bed presence or absence in a temporal interval (e.g., window of time) of a given duration. The temperature and/or pressure data can also be combined with other sensing modalities or motion sensors that reflect different forms of movement (e.g., load cells) to accurately detect user presence. For example, the temperature and/or pressure data can be provided as input to a bed presence classifier, which can determine user bed presence based on real-time or near real-time data collected at the bed. The classifier can be trained to differentiate the temperature data from the pressure data, identify peak values in the temperature and pressure data, and generate a bed presence indication based on correlating the peak values. The peak values can be within a threshold distance from each other to then generate an indication that the user is in the bed. An index or indexes stored by the service 410b can identify users associated with sensors and/or the data 1316.

FIG. 14 is a block diagram of an example user account cloud service 410c used in a data processing system associated with a bed system. Here, the service 410c is configured to record a list of users and to identify other data related to those users. The service 410c includes a network interface 1400, a communication manager 1402, server hardware 1404, and server system software 1406. The service 410c also includes a user identification module 1408, a purchase history module 1410, an engagement module 1412, and an application usage history module 1414.

The user identification module 1408 can include, or reference, data related to users of beds with associated data processing systems, as described above. The purchase history module 1410 can include, or reference, data related to purchases by users. The purchase data can include a sale's contact information, billing information, and salesperson information associated with the user's purchase of the bed system. An index or indexes stored by the service 410c can identify users associated with a bed purchase.

The engagement module 1412 can track user interactions with the manufacturer, vendor, and/or manager of the bed/cloud services. This data can include communications (e.g., emails, service calls), data from sales (e.g., sales receipts, configuration logs), and social network interactions. The data can also include servicing, maintenance, or replacements of components of the user's bed system. The usage history module 1414 can contain data about user interactions with applications and/or remote controls of the bed. A monitoring and configuration application can be distributed to run on, for example, computing devices 414 described herein. The application can log and report user interactions for storage in the application usage history module 1414. An index or indexes stored by the service 410c can also identify users associated with each log entry. User interactions stored in the module 1414 can optionally be used to determine or predict user preferences and/or settings for the user's bed and/or peripheral devices that can improve the user's overall sleep quality.

FIG. 15 is a block diagram of an example point of sale cloud service 1500 used in a data processing system associated with a bed system. Here, the service 1500 can record data related to users' purchases, specifically purchases of bed systems described herein. The service 1500 is shown with a network interface 1502, a communication manager 1504, server hardware 1506, and server system software 1508. The service 1500 also includes a user identification module 1510, a purchase history module 1512, and a bed setup module 1514.

The purchase history module 1512 can include, or reference, data related to purchases made by users identified in the module 1510, such as data of a sale, price, and location of sale, delivery address, and configuration options selected by the users at the time of sale. The configuration options can include selections made by the user about how they wish their newly purchased beds to be setup and can include expected sleep schedule, a listing of peripheral sensors and controllers that they have or will install, etc.

The bed setup module 1514 can include, or reference, data related to installations of beds that users purchase. The bed setup data can include a date and address to which a bed is delivered, a person who accepts delivery, configuration that is applied to the bed upon delivery (e.g., firmness settings), name(s) of bed user(s), which side of the bed each user will use, etc. Data recorded in the service 1500 can be referenced by a user's bed system at later times to control functionality of the bed system and/or to send control signals to peripheral components. This can allow a salesperson to collect information from the user at the point of sale that later facilitates bed system automation. Sometimes, some or all aspects of the bed system can be automated with little or no user-entered data required after the point of sale. Sometimes, data recorded in the service 1500 can be used in connection with other, user-entered data.

FIG. 16 is a block diagram of an example environment cloud service 1600 used in a data processing system associated with a bed system. Here, the service 1600 is configured to record data related to users' home environment. The service 1600 includes a network interface 1602, a communication manager 1604, server hardware 1606, and server system software 1608. The service 1600 also includes a user identification module 1610, an environmental sensors module 1612, and an environmental factors module 1614. The environmental sensors module 1612 can include a listing and identification of sensors that users identified in the module 1610 to have installed in and/or surrounding their bed (e.g., light, noise/audio, vibration, thermostats, movement/motion sensors). The module 1612 can also store historical readings or reports from the environmental sensors. The module 1612 can be accessed at a later time and used by one or more cloud services described herein to determine sleep quality and/or health information of the users. The environmental factors module 1614 can include reports generated based on data in the module 1612. For example, the module 1614 can generate and retain a report indicating frequency and duration of instances of increased lighting when the user is asleep based on light sensor data that is stored in the environmental sensors module 1612.

In the examples discussed here, each cloud service 410 is shown with some of the same components. These same components can be partially or wholly shared between services, or they can be separate. Sometimes, each service can have separate copies of some or all the components that are the same or different in some ways. These components are provided as illustrative examples. In other examples, each cloud service can have different number, types, and styles of components that are technically possible.

FIG. 17 is a block diagram of an example of using a data processing system associated with a bed to automate peripherals around the bed. Shown here is a behavior analysis module 1700 that runs on the motherboard 402. The behavior analysis module 1700 can be one or more software components stored on the computer memory 512 and executed by the processor 502. In general, the module 1700 can collect data from a variety of sources (e.g., sensors 902, 904, 906, 908, and/or 910, non-sensor local sources 1704, cloud data services 410a and/or 410c) and use a behavioral algorithm 1702 (e.g., machine learning model(s)) to generate actions to be taken (e.g., commands to send to peripheral controllers, data to send to cloud services, such as the bed data cloud 410a and/or the user account cloud 410c). This can be useful, for example, in tracking user behavior and automating devices in communication with the user's bed.

The module 1700 can collect data from any technologically appropriate source (e.g., sensors of the sensor array 406) to gather data about features of a bed, the bed's environment, and/or the bed's users. The data can provide the module 1700 with information about a current state of the bed's environment. For example, the module 1700 can access readings from the pressure sensor 902 to determine air chamber pressure in the bed. From this reading, and potentially other data, user presence can be determined. In another example, the module 1700 can access the light sensor 908 to detect the amount of light in the environment. The module 1700 can also access the temperature sensor 906 to detect a temperature in the environment and/or microclimates in the bed. Using this data, the module 1700 can determine whether temperature adjustments should be made to the environment and/or components of the bed to improve the user's sleep quality and overall comfort. Similarly, the module 1700 can access data from cloud services to make more accurate determinations of user sleep quality, health information, and/or control the bed and/or peripheral devices. For example, the behavior analysis module 1700 can access the bed cloud service 410a to access historical sensor data 1212 and/or advanced sleep data 1214. The module 1700 can also access a weather reporting service, a 3^rd party data provider (e.g., traffic and news data, emergency broadcast data, user travel data), and/or a clock and calendar service. Using data retrieved from the cloud services 410, the module 1700 can accurately determine user sleep quality, health information, and/or control of the bed and/or peripheral devices. Similarly, the module 1700 can access data from non-sensor sources 1704, such as a local clock and calendar service (e.g., a component of the motherboard 402 or of the processor 502). The module 1700 can use this information to determine, for example, times of day that the user is in bed, asleep, waking up, and/or going to bed.

The behavior analysis module 1700 can aggregate and prepare this data for use with one or more behavioral algorithms 1702 (e.g., machine learning models). The behavioral algorithms 1702 can be used to learn a user's behavior and/or to perform some action based on the state of the accessed data and/or the predicted user behavior. For example, the behavior algorithm 1702 can use available data (e.g., pressure sensor, non-sensor data, clock and calendar data) to create a model of when a user goes to bed every night. Later, the same or a different behavioral algorithm 1702 can be used to determine if an increase in air chamber pressure is likely to indicate a user going to bed and, if so, send some data to a third-party cloud service 410 and/or engage a peripheral controller 1002 or 1004, foundation actuators, a temperature controller 1006, and/or an under-bed lighting controller 1008.

Here, the module 1700 and the behavioral algorithm 1702 are shown as components of the motherboard 402. Other configurations are also possible. For example, the same or a similar behavioral analysis module 1700 and/or behavioral algorithm 1702 can be run in one or more cloud services, and resulting output can be sent to the pump motherboard 402, a controller in the controller array 408, or to any other technologically appropriate recipient described throughout this document.

FIG. 18 shows an example of a computing device 1800 and an example of a mobile computing device that can be used to implement the techniques described here. The computing device 1800 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The mobile computing device is intended to represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart-phones, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed in this document.

The computing device 1800 includes a processor 1802, a memory 1804, a storage device 1806, a high-speed interface 1808 connecting to the memory 1804 and multiple high-speed expansion ports 1810, and a low-speed interface 1812 connecting to a low-speed expansion port 1814 and the storage device 1806. Each of the processor 1802, the memory 1804, the storage device 1806, the high-speed interface 1808, the high-speed expansion ports 1810, and the low-speed interface 1812, are interconnected using various busses, and can be mounted on a common motherboard or in other manners as appropriate. The processor 1802 can process instructions for execution within the computing device 1800, including instructions stored in the memory 1804 or on the storage device 1806 to display graphical information for a GUI on an external input/output device, such as a display 1816 coupled to the high-speed interface 1808. In other implementations, multiple processors and/or multiple buses can be used, as appropriate, along with multiple memories and types of memory. Also, multiple computing devices can be connected, with each device providing portions of the necessary operations (e.g., as a server bank, a group of blade servers, or a multi-processor system). The memory 1804 stores information within the computing device 1800. In some implementations, the memory 1804 is a volatile memory unit or units. In some implementations, the memory 1804 is a non-volatile memory unit or units. The memory 1804 can also be another form of computer-readable medium, such as a magnetic or optical disk. The storage device 1806 is capable of providing mass storage for the computing device 1800. In some implementations, the storage device 1806 can be or contain a computer-readable medium, such as a floppy disk device, a hard disk device, an optical disk device, or a tape device, a flash memory or other similar solid state memory device, or an array of devices, including devices in a storage area network or other configurations. A computer program product can be tangibly embodied in an information carrier. The computer program product can also contain instructions that, when executed, perform one or more methods, such as those described above. The computer program product can also be tangibly embodied in a computer- or machine-readable medium, such as the memory 1804, the storage device 1806, or memory on the processor 1802.

The high-speed interface 1808 manages bandwidth-intensive operations for the computing device 1800, while the low-speed interface 1812 manages lower bandwidth-intensive operations. Such allocation of functions is exemplary only. In some implementations, the high-speed interface 1808 is coupled to the memory 1804, the display 1816 (e.g., through a graphics processor or accelerator), and to the high-speed expansion ports 1810, which can accept various expansion cards (not shown). In the implementation, the low-speed interface 1812 is coupled to the storage device 1806 and the low-speed expansion port 1814. The low-speed expansion port 1814, which can include various communication ports (e.g., USB, Bluetooth, Ethernet, wireless Ethernet) can be coupled to one or more input/output devices, such as a keyboard, a pointing device, a scanner, or a networking device such as a switch or router, e.g., through a network adapter. The computing device 1800 can be implemented in a number of different forms, as shown in the figure. For example, it can be implemented as a standard server 1820, or multiple times in a group of such servers. In addition, it can be implemented in a personal computer such as a laptop computer 1822. It can also be implemented as part of a rack server system 1824. Alternatively, components from the computing device 1800 can be combined with other components in a mobile device (not shown), such as a mobile computing device 1850. Each of such devices can contain one or more of the computing device 1800 and the mobile computing device 1850, and an entire system can be made up of multiple computing devices communicating with each other. The mobile computing device 1850 includes a processor 1852, a memory 1864, an input/output device such as a display 1854, a communication interface 1866, and a transceiver 1868, among other components. The mobile computing device 1850 can also be provided with a storage device, such as a micro-drive or other device, to provide additional storage. Each of the processor 1852, the memory 1864, the display 1854, the communication interface 1866, and the transceiver 1868, are interconnected using various buses, and several of the components can be mounted on a common motherboard or in other manners as appropriate.

The processor 1852 can execute instructions within the mobile computing device 1850, including instructions stored in the memory 1864. The processor 1852 can be implemented as a chipset of chips that include separate and multiple analog and digital processors. The processor 1852 can provide, for example, for coordination of the other components of the mobile computing device 1850, such as control of user interfaces, applications run by the mobile computing device 1850, and wireless communication by the mobile computing device 1850. The processor 1852 can communicate with a user through a control interface 1858 and a display interface 1856 coupled to the display 1854. The display 1854 can be, for example, a TFT (Thin-Film-Transistor Liquid Crystal Display) display or an OLED (Organic Light Emitting Diode) display, or other appropriate display technology. The display interface 1856 can comprise appropriate circuitry for driving the display 1854 to present graphical and other information to a user. The control interface 1858 can receive commands from a user and convert them for submission to the processor 1852. In addition, an external interface 1862 can provide communication with the processor 1852, so as to enable near area communication of the mobile computing device 1850 with other devices. The external interface 1862 can provide, for example, for wired communication in some implementations, or for wireless communication in other implementations, and multiple interfaces can also be used.

The memory 1864 stores information within the mobile computing device 1850. The memory 1864 can be implemented as one or more of a computer-readable medium or media, a volatile memory unit or units, or a non-volatile memory unit or units. An expansion memory 1874 can also be provided and connected to the mobile computing device 1850 through an expansion interface 1872, which can include, for example, a SIMM (Single In Line Memory Module) card interface. The expansion memory 1874 can provide extra storage space for the mobile computing device 1850, or can also store applications or other information for the mobile computing device 1850. Specifically, the expansion memory 1874 can include instructions to carry out or supplement the processes described above, and can include secure information also. Thus, for example, the expansion memory 1874 can be provide as a security module for the mobile computing device 1850, and can be programmed with instructions that permit secure use of the mobile computing device 1850. In addition, secure applications can be provided via the SIMM cards, along with additional information, such as placing identifying information on the SIM card in a non-hackable manner.

The memory can include, for example, flash memory and/or NVRAM memory (non-volatile random access memory), as discussed below. In some implementations, a computer program product is tangibly embodied in an information carrier. The computer program product contains instructions that, when executed, perform one or more methods, such as those described above. The computer program product can be a computer- or machine-readable medium, such as the memory 1864, the expansion memory 1874, or memory on the processor 1852. In some implementations, the computer program product can be received in a propagated signal, for example, over the transceiver 1868 or the external interface 1862.

The mobile computing device 1850 can communicate wirelessly through the communication interface 1866, which can include digital signal processing circuitry where necessary. The communication interface 1866 can provide for communications under various modes or protocols, such as GSM voice calls (Global System for Mobile communications), SMS (Short Message Service), EMS (Enhanced Messaging Service), or MMS messaging (Multimedia Messaging Service), CDMA (code division multiple access), TDMA (time division multiple access), PDC (Personal Digital Cellular), WCDMA (Wideband Code Division Multiple Access), CDMA2000, or GPRS (General Packet Radio Service), among others. Such communication can occur, for example, through the transceiver 1868 using a radio-frequency. In addition, short-range communication can occur, such as using a Bluetooth, WiFi, or other such transceiver (not shown). In addition, a GPS (Global Positioning System) receiver module 1870 can provide additional navigation- and location-related wireless data to the mobile computing device 1850, which can be used as appropriate by applications running on the mobile computing device 1850. The mobile computing device 1850 can also communicate audibly using an audio codec 1860, which can receive spoken information from a user and convert it to usable digital information. The audio codec 1860 can likewise generate audible sound for a user, such as through a speaker, e.g., in a handset of the mobile computing device 1850. Such sound can include sound from voice telephone calls, can include recorded sound (e.g., voice messages, music files, etc.) and can also include sound generated by applications operating on the mobile computing device 1850. The mobile computing device 1850 can be implemented in a number of different forms, as shown in the figure. For example, it can be implemented as a cellular telephone 1880. It can also be implemented as part of a smart-phone 1882, personal digital assistant, or other similar mobile device.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software, software applications or code) include machine instructions for a programmable processor, and can be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms machine-readable medium and computer-readable medium refer to any computer program product, apparatus and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term machine-readable signal refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input. The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet. The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

FIG. 19 is a conceptual diagram for executing corrective pressure adjustments to a bed system 1900. As described herein, changes in pressure detected in real-time at the bed system 1900 can be used to determine a mass difference in air pressure in the bed system 1900. The changes in pressure can be detected while temperature adjustments are made to the bed system 1900, such as when a heating or cooling routine is activated at the bed system 1900. As will be understood, when heating air in an air bladder of the bed system 1900, the bladder can be periodically vented to maintain a steady pressure and firmness. Later, as the bed system 1900 cools, this can cause the bed system 1900 to have a lower firmness than desired. To counteract this issue, changes in pressure can be aggregated into the mass difference in air pressure as the changes in pressure are detected using the disclosed techniques. The mass difference in air pressure can then be used to determine a corrective pressure adjustment that can be made to the bed system 1900 once a user 1902 exits the bed system 1900 (e.g., the user's sleep session ends). Sometimes, as described herein, the corrective pressure adjustment can be used to add back a total mass of air that was removed from the bed system 1900 while the temperature adjustments were being made. Sometimes, the corrective pressure adjustment can be used to add a mass of air to the bed system 1900 that causes the bed system 1900 to achieve a pressure level closest to a user-desired pressure, or firmness, level. A corrective pressure adjustment that is made only one time (or alternatively, fewer times) can beneficially use less power and other resources for execution than multiple smaller adjustments made over time. As a result, components of the bed system 1900 can be turned off or operating in low, power-saving modes while the bed system 1900 is unoccupied and once the corrective pressure adjustment is made. As may be appreciated, in some embodiments, multiple corrective pressure adjustments may be performed, e.g., if additional changes to the amount of air in the bed system, the pressure in the bed system or atmosphere, or the temperature in the bed system or room are detected.

The bed system 1900 may include sensors 1904A-N, a temperature adjustment system 1906, a pump 1912, and optionally a controller 1915. The components 1904A-N, 1906, 1912, and 1915 of the bed system 1900 can communicate (e.g., wired, wirelessly) with each other and a computing system 1908 via network(s) 1910. Sometimes, the controller 1915 can include the computing system 1908. Sometimes, the controller 1915 can be remote from the bed system 1900. Sometimes, the computing system 1908 can be on the edge or part of the bed system 1900.

In brief, the sensors 1904A-N can include any one or more sensors, sensor suites, and/or sensor arrays described throughout this disclosure. As an illustrative example, the sensors 1904A-N of the bed system 1900 can be pressure sensors. The sensors 1904A-N can be positioned near, around, and/or inside a mattress of the bed system 1900. For example, the mattress can be an air mattress having at least one air chamber. The sensors 1904A-N can be pressure sensors positioned inside the at least one air chamber and/or inline with the pump 1912 that is fluidically connected to the at least one air chamber.

The temperature adjustment system 1906 can be configured to adjust a temperature level of the bed system 1900 before, during, and/or after the sleep session of the user 1902. For example, the system 1906 can be activated (and/or controlled by the controller 1915 and/or the computing system 1908) during the user 1902's sleep session to increase a temperature of the microclimate of the bed system 1900 to a user-desired temperature level (or to a temperature level that results in improved sleep quality for the user 1902). The system 1906 can therefore perform a heating routine. During the heating routine, the system 1906 can blow warm air into the mattress of the bed system 1900. As an illustrative example, during the heating routine, the system 1906 can blow warm air into channels in the mattress of the bed system 1900, where the channels are created for this purpose. The system 1906 can also be activated to decrease the temperature of the microclimate to a user-desired temperature level or temperature level that results in improved sleep quality for the user 1902. The system 1906 can therefore perform a cooling routine. During the cooling routine, the system 1906 can draw air out from the mattress of the bed system 1900. In some implementations, during the cooling routine the system 1906 can blow cool air into the mattress of the bed system 1900.

The pump 1912 can be configured to add and/or remove masses of air to/from the mattress of the bed system 1900. The pump 1912 can be controlled by the controller 1915 and/or the computing system 1908. The pump 1912 can execute instructions from the computing system 1908, for example, to automatically adjust a pressure level of the bed system 1900 to a user-desired pressure or firmness level. The pump 1912 can execute the instructions during the sleep session of the user 1902 to counteract changes in pressure that result from the temperature adjustments made to the microclimate of the bed system 1900. As described herein, the pump 1912 can execute instructions after the sleep session of the user 1902 to make a corrective pressure adjustment that causes the bed system to achieve a pressure level that is closest to the user-desired pressure level or a pressure level before the temperature adjustment system 1906 was activated.

The controller 1915 can be any of the controllers described herein. The controller 1915 can be configured to control operation of one or more bed components described herein. The controller 915 can perform any of the techniques described herein, such as the process described in FIG. 20. In some implementations, as mentioned above, the bed system 1900 may not include the controller 1915. Instead, the components of the bed system 1900 can communicate with the computing system 1908 to perform the disclosed techniques.

The computing system 1908 can be any type of computing system, edge computing device, network of computing systems or devices, and/or controller. The computing system 1908 can be configured to perform the techniques described herein.

Still referring to FIG. 19, the sensors 1904A-N of the bed system 1900 can measure pressure readings at the bed system 1900 (block Z, 1920). The pressure readings can be measured continuously, in real-time, and/or at predetermined time intervals.

The temperature adjustment system 1906 can be configured to adjust temperature at the bed system 1900 (block A, 1922). The system 1906 can make the temperature adjustments during the sleep session of the user 1902 (e.g., responsive to the user 1902 providing user input at a user device or other controller to perform the temperature adjustments). The system 1906 can, for example, be activated to perform a heating routine in which the system 1906 pumps warm air through the mattress of the bed system 1900 to increase the temperature of the microclimate of the bed system 1900. As another example, the system 1906 can be activated to perform a cooling routine in which the system 1906 draws air out of the mattress of the bed system 1900 to lower the temperature of the microclimate of the bed system 1900. The system 1906 can be activated for the entire sleep session of the user 1902. The system 1906 can also be activated for other periods of time before, during, and/or after the sleep session.

When the temperature adjustment system 1906 is activated, the sensors 1904A-N can measure pressure readings of the bed system 1900 (block Z, 1920). For example, the sensors 1904A-N can measure an initial pressure value in the mattress of the bed system 1900 before the system 1906 activate and/or shortly after activating.

Optionally, the pump 1912 may execute pressure adjustments while the temperature is being adjusted by the temperature adjustment system 1906 (block B, 1924). The pressure adjustments can be made based on the pressure readings that are continuously being measured by the sensors 1904A-N at the bed system 1900 (block Z, 1920). These pressure adjustments can be made to counteract changes in pressure that may result from increasing or decreasing the temperature of the bed system 1900. Therefore, pressure adjustments can be made to maintain the pressure level of the bed system 1900 close to the user-desired pressure or firmness level. The sensors 1904A-N can continue to measure pressure readings before and/or after any pressure adjustments are made.

For example, blowing warm air through the mattress (and/or through a layer that is in or on top of the mattress) to increase the temperature of the microclimate of the bed system 1900 can cause an overall increase in air pressure in the air chamber (or multiple chambers) of the bed system 1900 by warming air in the air chamber of the bed system 1900. The pump 1912 can therefore be activated in block B (1924) to automatically remove a mass of air from the air chamber of the bed system 1900 that resulted from increasing the temperature of the microclimate. The pump 1912 can remove the mass of air so that a pressure level of the bed system 1900 can be adjusted to and/or maintained at the user-desired pressure or firmness level during the user 1902's sleep session. As another example, blowing or drawing cooled or ambient air through the mattress (and/or through a layer that is in or on top of the mattress) to decrease the temperature of the microclimate of the bed system 1900 can cause an overall decrease in air pressure in the bed system 1900. The pump 1912 can therefore be activated to automatically add a mass of air to an air chamber of the bed system 1900 so that the pressure level of the air chamber of the bed system 1900 can be adjusted to and/or maintained at the user-desired pressure or firmness level during their sleep session. Furthermore, as the pressure adjustments are being performed in block B (1924), the sensors 1904A-N can measure pressure readings in the mattress of the bed system 1900 (block Z, 1920).

The sensors 1904A-N can transmit the pressure readings to the computing system 1908 (block C, 1926). The pressure readings can be transmitted in real-time, such as when they are measured, and/or in near-real time. For example, the pressure readings can be transmitted in batch and/or at predetermined time intervals. The pressure readings can be measured and/or transmitted to the computing system 1908 once, for example, the pump 1912 executes pressure adjustments in block B (1924). The pressure readings can be measured and/or transmitted to the computing system 1908 a threshold amount of time after temperature adjustments are made to the bed system 1900 by the temperature adjustment system 1906. Sometimes, for example, the pump 1912 may not make pressure adjustments while the temperature adjustments are made. Thus, the sensors 1904A-N can detect pressure changes in the bed system 1900 that result from the temperature adjustments and then transmit those pressure changes to the computing system 1908 in block C (1926). As explained above, in some embodiments the computing system 1908 can be part of the controller 1915 of the bed system 1900. For example, the controller 1915 (including the computing system 1908) can be integrated into a foundation or mattress of the bed system 1900. In other embodiments, some or all of the computing system 1908 can be positioned remote from the controller 1915, communicating via a wired or wireless connection.

The computing system 1908 can determine a difference between the user-desired pressure and an actual pressure that is sensed after the temperature adjustments. This difference can be determined based on an aggregate of pressure increases or decreases that were conducted during a sleep session (block D, 1928). The computing system 1908 can add the pressure changes to a difference in pressure value whenever the pressure readings are received from the bed system 1900. The difference in pressure value can therefore be a value indicating a total change in pressure that was detected in the bed system 1900 as a result of the temperature adjustments being made during the user 1902's sleep session.

The computing system 1908 can also determine an air-change-value based on the difference in pressure (block E, 1930). The air-change-value can indicate a total mass of air that was added to or removed from the bed system 1900, which corresponds to the total change in pressure detected in the bed system 1900. For example, after all pressure adjustments have been made to the bed system 1900 while the temperature adjustment system 1906 is activated, the computing system 1908 can determine a sum of moles of air lost or gained with each pressure adjustment. The mass of air that is pumped back into the bed system 1900 or removed from the bed system 1900 is substantially equivalent to the determined sum of the moles of air lost or gained. For example, the mass of air need not be precisely equivalent so long as any difference is close enough that a user is unlikely to notice the difference.

The computing system 1908 may detect a bed-exit event in block F (1932). Sometimes, the computing system 1908 can passively detect or check for the bed-exit event. In other words, the computing system 1908 may continuously check for the bed-exit event or check for the event at predetermined time intervals (e.g., every 1 minute, every 5 minutes, every 10 minutes). The computing system 1908 can perform block F (1932) before, during, or after any one or more of the blocks described herein. Sometimes, in block F (1932), the computing system 1908 can additionally or alternatively detect when the temperature adjustment system 1906 is deactivated (e.g., when the system 1906 stops adjusting the temperature of the bed system 1900 in block A, 1922).

If the bed-exit event is detected in block F (1932), the computing system 1908 can generate instructions for a corrective pressure adjustment to be made to the bed system 1900 based on the air-change-value (block G, 1934). As the bed system 1900 cools to ambient temperature, for example after temperature adjustments were made to increase the temperature of the microclimate of the bed system 1900, the pressure level in the bed system 1900 may also drop, potentially to a point where the pressure level is lower than the user-desired pressure level. The disclosed technology is therefore used to generate and execute the corrective pressure adjustment to the bed system 1900 in order to achieve the user-desired pressure level before the user 1902 enters the bed system 1900 for a next sleep session.

Sometimes, the computing system 1908 may perform block E (1930) to determine the air-change-value based on detecting the bed-exit event in block F (1932). Sometimes, the computing system 1908 may generate the instructions for the corrective pressure adjustment (block G, 1934), then detect the bed-exit event (block F, 1932), and then transmit the instructions to the pump 1912 (block H, 1936) based on determining that a threshold amount of time passed since the bed-exit event was detected. In some embodiments, the threshold amount of time can be 30 minutes, or about 30 minutes. In some embodiments, the threshold amount of time can be greater than 20 minutes. In some embodiments, the threshold amount of time can be between 20 and 40 minutes. In some embodiments, the threshold amount of time can be between 20 and 60 minutes. In some embodiments, can be a number greater than zero that is long enough to reflect an end to the prior sleep session.

As described herein, the corrective pressure adjustment can be determined and/or performed once so that the pressure level of the bed system 1900 is adjusted only once. The pressure adjustment can be one large pressure adjustment intended to return the bed system 1900 to the pressure level it had before the temperature adjustment system 1906 was activated and/or before the sleep session of the user 1902 (sometimes, for example, the pressure adjustment can include adding back a total mass of air that was removed from the bed system 1900 while the temperature adjustment system 1906 was activated). The one large pressure adjustment can also be made to return the bed system 1900 to a pressure level that corresponds to the user-desired pressure or firmness level. Sometimes, the one large pressure adjustment can be made to return the bed system 1900 to a pressure level that is closest to the user-desired pressure level so that as the bed system 1900 warms up or cools down in between sleep sessions and in response to ambient temperature and/or atmospheric pressure, the pressure level of the bed system 1900 may settle at the user-desired pressure level. In some embodiments, using a large corrective pressure adjustment (for example, only one large pressure adjustment) can be superior to making several smaller pressure adjustments because it can complete the adjusting process more quickly, thus creating an improved experience for a user. For example, a bed system can take several hours (e.g., 8-10 hours) to cool after becoming heated during a sleep session (e.g., in the morning after a night's sleep). If a bed system were to continually make pressure adjustments during the cooling, the pressure adjustment could continue to last hours which could be frustrating to a user who, for example, may wish to turn off the feature but be unable to if the adjustment feature is required to last for hours. In contrast, making one large pressure adjustment can be beneficial because it can complete the process at one time, even if the bed continues to cool (if the bed was previously heated) or heat (if the bed was previously cooled) for several hours.

Once the instructions are generated in block G (1934), the computing system 1908 can transmit the instructions to the pump 1912 in block H (1936). Sometimes, the instructions can be transmitted a threshold amount of time after the bed-exit event was detected (block F, 1932).

The pump 1912 can perform the corrective pressure adjustment in block I (1938). As described herein, the adjustment can be made once some threshold amount of time after the user 1902 exits the bed system 1900 and/or the temperature adjustment system 1906 is deactivated. The adjustment can be made once between sleep sessions so that when the user 1902 enters the bed system 1900 for the next sleep session, the pressure level of the bed system 1900 is at or nearest to the user-desired pressure or firmness level.

One or more of the blocks A-Z can be performed continuously, in real-time, and/or at predetermined time intervals. Real-time analysis can include performing one or more of the blocks on a rolling analysis. For example, pressure readings can be continuously measured and received (blocks Z, 1920, and C, 1926), then the difference in pressure can be determined on a rolling basis (block D, 1928). Real-time analysis can additionally or alternatively include performing one or more of the blocks based on an incoming data stream. For example, whenever pressure readings are received from the sensors 1904A-N (block C, 1926), one or more blocks (e.g., the blocks D-G, 1928-1934) can be performed.

In some implementations, the user 1902 may adjust their user-desired pressure level during the sleep session and/or while the temperature adjustment system 1906 is activated. In such scenarios, the computing system 1908 can perform the techniques described above to execute a final, corrective pressure adjustment that returns the pressure level of the bed system 1900 to the adjusted user-desired pressure level (instead of the pressure level before the user made manual adjustments and/or the pressure level before the temperature adjustment system 1906 was activated). To determine the final, corrective pressure adjustment, the computing system 1908 can calculate a ratio of absolute pressures between the adjusted user-desired pressure level and the previous user-desired pressure level, assuming the same volume and temperature in the bed system 1900. This can be a same increment or decrement in terms of the amount of air in the bed system 1900. Therefore, the initial amount of air in the bed system 1900 can be adjusted by the following example ratio: (new absolute pressure at the initial temperature)/(old absolute pressure at the initial temperature). Sometimes, a standard atmospheric pressure can be calculated in terms of the user-desired pressure level to then determine the final, corrective pressure adjustment. For this, one standard atmosphere (in Pascals) can be converted into a user-desired pressure level, which can then be used to determine the final, corrective pressure adjustment.

FIG. 20 is a flowchart of a process 2000 for executing a corrective pressure adjustment to a bed system. The process 2000 can be performed by components described herein, such as the computing system 1908 and/or the controller 1915. The process 2000 can also be performed by one or more other components and/or computing systems. For illustrative purposes, the process 2000 is described from the perspective of a computing system.

Referring to the process 2000, the computing system receives sensor data of pressure readings while a temperature adjustment is made to a microclimate of the bed system (block 2002). For example, the computing system can receive, from at least one sensor, sensor data indicating pressure readings that are received while operation of a component of the bed system that causes the temperature adjustment to the microclimate of the bed system. The at least one sensor can be a pressure sensor. The mattress can include at least one air chamber and the at least one sensor can be positioned inside the air chamber. The mattress can additionally or alternatively include at least one air chamber and the at least one sensor can be fluidically connected to the air chamber. The component can be the bed controller. The component can also be a temperature adjustment system, such as the temperature adjustment system 1906.

The temperature adjustment to the microclimate can include an increase in temperature of the microclimate to a threshold temperature value (e.g., activating a heat routine). The temperature adjustment can additionally or alternatively include a decrease in temperature of the microclimate to a threshold temperature value (e.g., activating a cooling routine). The threshold temperature value can be defined by a user of the bed system as a temperature that the user desires to sleep at. The threshold temperature value can additionally or alternatively be determined by the computing system as a microclimate temperature at which the user experiences improved sleep quality.

The pressure readings in a mattress of the bed system can be captured by the at least one sensor at predetermined time intervals (e.g., every 1 minute, 3 minutes, 5 minutes, 10 minutes, 15 minutes, etc.). The pressure readings can be captured, by the at least one sensor, whenever a pressure adjustment is made to the mattress responsive to the controller operating to cause the temperature adjustment to the microclimate. For example, the pressure readings can be captured and transmitted to the computing system a threshold amount of time before the pressure adjustment is made and a threshold amount of time after the pressure adjustment is made.

Optionally, the computing system may generate and execute instructions to automatically adjust a pressure level in a mattress of the bed system responsive to the temperature adjustment(s) (block 2004). These pressure adjustments can be performed while the controller operates to cause the temperature adjustment to the microclimate. Sometimes, for example, the pressure adjustments can be responsive to at least one of (i) an increase in pressure resulting from blowing warm air through the mattress (e.g., activating a heat routine or increasing the temperature of the microclimate of the bed system) or (ii) a decrease in pressure resulting from blowing or drawing cooled or ambient air through the mattress (e.g., activating a cooling routine or decreasing the temperature of the microclimate of the bed system). Sometimes, the instructions can cause the pump to increase or decrease a pressure level in an air chamber of the mattress to a user-desired pressure or firmness level while the controller operates to cause the temperature adjustment to the microclimate of the mattress (e.g., changing the temperature of a layer at or near a top of the mattress, such as a layer above the air chamber of the mattress). As a result of these temperature adjustments, the pressure of the air chamber in the bed system can be maintained at a pressure level that the user prefers and/or helps the user achieve improved sleep quality and/or comfort.

In block 2006, the computing system aggregates the pressure readings to determine a difference in pressure in the mattress. The computing system can aggregate the pressure readings received while operation of the controller causes the temperature adjustment to determine the difference in pressure in the mattress. The computing system can receive the pressure readings every time a pressure adjustment is made, then add the received pressure readings to the difference in pressure. For example, the computing system can receive a pressure reading before any temperature adjustments are made and add that pressure reading to the difference in pressure. Then, a first temperature adjustment can be made, a pressure reading can be captured some threshold amount of time after the first adjustment, and that pressure reading can be added to the difference in pressure. A second temperature adjustment can be made, a pressure reading can be captured before the second adjustment (optionally), another pressure reading can be captured a threshold amount of time after the second adjustment, and these pressure readings can be added to the difference in pressure. As a result, the difference in pressure can be a running count of all pressure changes that are made to/detected at the bed system throughout a sleep session of the user and/or while the temperature adjustments are being made.

Sometimes, aggregating the pressure readings can be performed, by the controller, after detection of a bed-exit event by a user of the bed system. In such scenarios, the computing system can collect the pressure readings throughout the sleep session of the user and/or until the bed-exit event is detected. Then, once the computing system determines that a threshold amount of time passed since the bed-exit event is detected, the computing system can aggregate all of the collected pressure readings to determine the difference in pressure for the bed system.

As mentioned above, the difference in pressure can be a total change in pressure in the mattress from (i) an initial pressure value in the mattress before the controller operates to cause the temperature adjustment to (ii) a final pressure value in the mattress. The computing system can capture pressure readings between the initial pressure value and the final pressure value, whenever a pressure adjustment is made and/or at predetermined time intervals (regardless of whether temperature adjustments are made since the pressure level of the mattress can fluctuate throughout the night, such as in response to changes in ambient temperature and/or pressure). Accordingly, the difference in pressure can be a total amount of pressure that is added to or removed from the mattress while the controller operates to cause the temperature adjustment (or multiple temperature adjustments) to the microclimate of the bed system.

The computing system can determine whether the temperature adjustment(s) has stopped and/or a bed exit event was detected in block 2008. For example, the computing system can poll the temperature adjustment system and/or the controller for an indication of whether temperature adjustments are still being performed. The computing system can also receive an indication from the temperature adjustment system and/or the controller indicating that the temperature adjustments have stopped. In some implementations, the temperature adjustments may be performed for a predetermined period of time. Once the predetermined period of time ends, the computing system can determine that the temperature adjustments have stopped. As another example, the computing system can receive sensor data indicating temperature values at the microclimate of the bed system. The computing system can determine whether the temperature values are within a threshold temperature range for a threshold amount of time. This can indicate that the temperature adjustment(s) has stopped.

The computing system can determine whether the bed exit event is detected based on sensor data. For example, the computing system can receive pressure data from at least one pressure sensor, load cell signals from at least one load cell, and/or temperature data from at least one temperature sensor. The computing system can determine whether the received sensor data is indicative of the user exiting the bed system. For example, a change in pressure that exceeds some threshold pressure change value can indicate that where the user was previously laying on top of the air chambers in the mattress of the bed system, the user has now gotten out of bed and therefore relieved some of the pressure on top of the mattress. Similarly, a change in load cell signals can indicate that the user has gotten out of the bed system. As another example, a change in temperature that exceeds some threshold temperature change can indicate that where the user's core body temperature added heat to the microclimate of the bed system while the user was in the bed system, now that the user has exited the bed system, the microclimate temperature lowers. The computing system can additionally or alternatively determine whether the user has left the bed system using one or more other techniques described herein. If the user has exited the bed system, the computing system can wait a predetermined amount of time (e.g., 15 minutes, 20 minutes, 30 minutes) to ensure that the user in fact left the bed system after a sleep session and is not returning to bed (e.g., the user did not get out of bed to use the bathroom or get a glass of water, rather the user got out of bed to start their day).

If the computing system determines that the temperature adjustments are still going and/or the user is still in the bed system, then the computing system can return to block 2002 and continue to receive pressure readings while the temperature adjustments are made (block 2002), adjust pressure in the mattress to counteract the temperature adjustments (block 2004), and aggregate the received pressure readings to determine the total difference in pressure in the mattress (block 2006). The computing system may repeat the blocks 2002-2006 until the temperature adjustment stops and/or the bed exit event is detected in block 2008.

If the temperature adjustment is stopped and/or the bed exit event is detected in block 2008, the computing system can determine an air-change-value based on the difference in pressure (block 2010). The air-change-value can contribute to the difference in pressure in the mattress. The air-change-value can represent a change in mass in the mattress from adding or removing air in the mattress while the temperature adjustments were made. Other times, this block can be performed before block 2008. The air-change-value can also be determined, in some implementations, whenever the pressure readings are aggregated to determine the difference in pressure.

In some embodiments, the pressure sensors can be single gauge pressure sensors. In other embodiments, the pressure sensors can be absolute pressure sensors (i.e., pressure sensors that also measures the ambient pressure) or can be used in conjunction with one or more additional pressure sensors to measure the ambient pressure. Adding more sensors can reduce the need to use the estimate of the standard atmospheric pressure and instead use the actual atmospheric pressure.

As a merely illustrative example of the techniques described in blocks 2006 and 2010, ideal gas law, PV nRT, can be used by a computing device to perform operations to estimate how much air is removed (or added to) the air chamber(s) of the mattress as the pressure is adjusted. Once the user exits the bed (e.g., the sleep session ends, the temperature adjustments are stopped), the estimated amount of air can be pumped back into (or out of) the air chamber(s). Temporarily, this may result in the air chamber(s) having a higher (or lower) pressure than the user-defined pressure level, but as the bed system cools down (or warms up) in the ambient environmental conditions, the pressure level in the air chamber(s) settles at or closer to that of the user-defined pressure level. In some embodiments, pressure may be absolute, so the standard atmospheric pressure of 101,325 Pk is added to the pressure readings obtained from the at least one pressure sensor. When the temperature adjustments are first made, the computing system can receive an initial pressure, as:

$P_{0}V=n_0{\mathrm{RT}}_0$

where P₀ is absolute pressure, so the sensor's pressure readings is in Pascals plus the standard atmospheric pressure of 101,325 Pa. P_1|0 can be used for the pressure at a time of a first pressure adjustment, before the pressure changes. P_1|1 can be used for the pressure at a time after the first pressure adjustment is completed. The index k can also be used to represent pressure adjustment events:

$P_{k|k-1}V=n_{k|k-1}{\mathrm{RT}}_{k|k-1}$

The above formula represents pressure before the pressure adjustment events. The following formula represents pressure after the pressure adjustment events:

$P_{k|k}V=n_{k|k}{\mathrm{RT}}_{k|k}$

Air temperature inside the air chamber(s) can be assumed to be the same before and after the pressure adjustments:

$T_k=T_{k|k-1}=T_{k|k}$

Moles of air in the air chamber(s) can then be calculated as:

$n_{k|k-1}=\frac{P_{k|k-1}V}{{\mathrm{RT}}_k}$ $n_{k|k}=\frac{P_{k|k}V}{{\mathrm{RT}}_k}$

The moles of air taken out of the air chamber at the k^th adjustment can be represented as:

${\Delta }_k=n_{k|k-1}-n_{k|k}=\frac{V}{{\mathrm{RT}}_k}\left(P_{k|k-1}-P_{k|k}\right)$

The temperature before the adjustment can be expressed in relation to the pressure before the adjustment in the air chamber(s) as:

$T_k=\frac{P_{k|k-1}V}{n_{k|k-1}R}$

Replacing in the equation for the change in moles of air can result in the following calculation:

${\Delta }_k=n_{k|k-1}\left(1-\frac{P_{k|k}}{P_{k|k-1}}\right)$

Furthermore, since it is known that:

${\Delta }_k=n_{k|k-1}-n_{k|k}=n_{k|k-1}\left(1-\frac{P_{k|k}}{P_{k|k-1}}\right)$

The following calculation may result:

$n_{k|k}=n_{k|k-1}\left(\frac{P_{k|k}}{P_{k|k-1}}\right)$

The number of moles of air in the air chamber before an adjustment can be the same as the moles of air in the air chamber after the prior adjustment (e.g., n_k|k-1=n_k-1|k-1. Accordingly, n_1|0 can be the moles of air at the time a temperature adjustment is first made. Therefore, for k=1:

$n_{1|1}=n_{1|0}\left(\frac{P_{1|1}}{P_{1|0}}\right)$

Similarly, for k=2:

$n_{2|2}=n_{2|1}\left(\frac{P_{2|2}}{P_{2|1}}\right)$

Furthermore, n_2|1==n_1|1:

$n_{2|2}=n_{1|0}\left(\frac{P_{1|1}}{P_{1|0}}\right)\left(\frac{P_{2|2}}{P_{2|1}}\right)$

which can be generalized to the following:

$n_{k|k}=n_{1|0}\prod _{j=1}^k\left(\frac{P_{j|j}}{P_{j|j-1}}\right)$

For simplicity in notation, n₀=n_1|0 can be used for the initial number of moles of air in the air chamber(s):

${\Delta }_k=n_0\left(1-\frac{P_{k|k}}{P_{k|k-1}}\right)\prod _{j=1}^{k-1}\left(\frac{P_{j|j}}{P_{j|j-1}}\right)$

Once all the pressure adjustments have been made, a sum of the moles of air lost at each pressure adjustment can be pumped back into the air chamber(s). Therefore, for k adjustments:

${\Delta }_T=\sum _{m=1}^k{\Delta }_m$

which can reduce to:

${\Delta }_T=n_0\left(1-\prod _{j=1}^k\left(\frac{P_{j|j}}{P_{j|j-1}}\right)\right)$

At a time when the amount of air is to be pumped back into the air chamber(s), which can be denoted with the subscript e, the following calculation can be used:

$P_{e}V=\left(n_0-{\Delta }_T\right){\mathrm{RT}}_e$ $P_{e}V=\left(n_0\prod _{j=1}^k\left(\frac{P_{j|j}}{P_{j|j-1}}\right)\right){\mathrm{RT}}_e$

The pressure can be adjusted so that the bed system has the same amount of air in the air chamber(s) as before the temperature adjustment(s) was first made. Therefore, the last calculation above can be multiplied by an adjustment gain K_a:

$K_a{P}_{e}V=K_a\left(n_0\prod _{j=1}^k\left(\frac{P_{j|j}}{P_{j|j-1}}\right)\right){\mathrm{RT}}_e$

where:

$n_0=K_a\left(n_0\prod _{j=1}^k\left(\frac{P_{j|j}}{P_{j|j-1}}\right)\right)$

then:

$K_a\prod _{j=1}^k\left(\frac{P_{j|j-1}}{P_{j|j}}\right)$

For the final corrective pressure adjustment, the pressure level in the air chamber(s) can be brought to the final pressure level using the following:

$P_{\text{?}}=P_e\prod _{j=1}^k\left(\frac{P_{j|j-1}}{P_{j|j}}\right)$ $\text{?}\text{indicates text missing or illegible when filed}$

Still referring to the process 2000, the computing system generates instructions to cause a pump of the bed system to execute a corrective pressure adjustment to the mattress based on the air-change-value in block 2012. The computing system can generate instructions to cause the pump to execute the corrective pressure adjustment to the mattress based on the air-change-value that represents the change in the mass that contributes to the difference in pressure in the mattress. Generating the instructions to cause the pump of the bed system to execute the corrective pressure adjustment can include generating instructions that cause the pump to maintain a pressure value in the mattress at an initial pressure value in the mattress before the controller operated to cause the temperature adjustment to the microclimate. The initial pressure value can be a user-defined pressure or firmness level as described herein.

Sometimes, as part of generating the instructions, the computing system may optionally determine that the bed system is unoccupied (block 2014). Determining when the bed system is unoccupied can include detecting the bed exit event by the user of the bed system or both users of the bed system. Determining when the bed system is unoccupied can also include determining that a threshold amount of time passed since the user or both users exited the bed system. Determining when the bed system is unoccupied can be based on temperature changes that are detected, by at least one temperature sensor, in the mattress of the bed system, as described above. The computing system may optionally instruct the pump to execute the corrective pressure adjustment a threshold amount of time after the determination that the bed system is unoccupied (block 2016). For example, the corrective pressure adjustment can be executed 5 minutes, 15 minutes, 30 minutes, 1 hour, etc. after the computing system determines that the user or both users have left the bed system to start their day (and therefore the user(s) is not coming back to bed).

The computing system can return the instructions for execution at a single time (block 2018). In other words, the instructions can indicate that the pump should perform the pressure adjustment only once. Therefore the pump can perform one large pressure adjustment at the bed system. The pump can execute the corrective pressure adjustment to the mattress at a single time, such as a only once a threshold amount of time after the controller stops operating to cause the temperature adjustment to the microclimate of the bed system. The corrective pressure adjustment can be made only once per the determination of the difference in pressure in the mattress. The corrective pressure adjustment can be made only once per the determination of the air-change-value. The corrective pressure adjustment can be made only once per sleep session of the user. The corrective pressure adjustment can be made only once per activation of the temperature adjustment system. One or more other variations in execution of the corrective pressure adjustment are also possible.

The process 2000 can be performed during any sleep session of the user when the temperature adjustment system is activated. In some implementations, the process 2000 can also be performed to adjust the pressure level of the bed system to a user-desired pressure level at any time when changes in pressure and/or changes in temperature are detected at the bed system. In some implementations, the process 2000 can be performed when the temperature adjustments are made before the user enters the bed system for a sleep session, such as when the bed system is heated up/warmed to a user-desired temperature before the sleep session.

FIGS. 21A-B is a swimlane diagram of an example process 2100 for executing pressure adjustments to a bed system. For clarity, the process 2100 is being described with reference to components described herein, such as the sensors 1904A-N, the computing system 1908, the pump 1912, and the temperature adjustment system 1906. However, other systems and/or components can be used to perform the same or a similar process described herein.

Referring to the process 2100 in both FIGS. 21A-B, the sensors 1904A-N can measure pressure readings in a mattress of the bed system in block 2106. The pressure readings can be transmitted to and received by the computing system 1908 in blocks 2108 and/or 2112.

The computing system 1908 can generate instructions to cause a change in temperature of a microclimate of the mattress of the bed system to achieve a threshold temperature value or range (block 2102). The instructions can be transmitted to the temperature adjustment system 1906, received, and then executed (block 2104). For example, the computing system 1908 can operate a thermal module, such as the temperature adjustment system 1906, to cause an increase in temperature of the microclimate to a threshold temperature value. In some implementations, the computing system 1908 can operate the thermal module to cause a decrease in temperature of the microclimate to a threshold temperature value.

As described herein, blocks 2102, 2104, and 2106 can be performed at same or similar times. Block 2106 can be continuously performed, for example so long as temperature adjustments are being made by the temperature adjustment system 1906 at the bed system. Block 2106 can also be continuously performed so long as the user is in the bed system and/or the user is in a current sleep session. In some implementations, block 2106 can be performed at predetermined time intervals while the user is in the bed system, the user is in the current sleep session, and/or the temperature adjustments are being made.

In block 2108, the computing system 1908 can execute instructions to remove or add a mass of air in the mattress. The block 2108 can be performed in response to receiving the pressure readings from the sensors 1904A-N and determining that the pressure level in the mattress has deviated by a threshold amount from a user-desired pressure or firmness level. The pump 1912 can optionally receive and execute the instructions in block 2110. In some implementations, the computing system 1908 may execute the instructions. As an example, while the temperature adjustment system 1906 (e.g., the thermal module) is operating and based on sensor data received from at least one sensor 1904A-N indicating pressure readings in the mattress, the computing system 1908 can execute instructions to remove a mass of air from the mattress to maintain a firmness of the mattress at a user-desired firmness level (e.g., when warm air is blown through a layer that is in or on top of the mattress to increase the temperature of the microclimate). As another example, the computing system 1908 can execute instructions to add a mass of air to the mattress to maintain a firmness of the mattress at the user-desired firmness level when cooled or ambient air is blown or drawn through the layer of the mattress to decrease the temperature of the microclimate.

Next, in block 2112, the computing system 1908 can aggregate the pressure readings. Aggregating the pressure readings can include adding, to a total value, each measured pressure value from the sensors 1904A-N. For example, whenever the instructions are executed in blocks 2108 and 2110, the sensors 1904A-N can measure pressure readings (block 2106), and the computing system 1908 can receive those pressure readings and add them to the total value (block 2112). Accordingly, the computing system 1908 can determine a difference-in-pressure value for the mattress (block 2114). The difference-in-pressure value can be the aggregated pressure readings, or the total value described in block 2112. The difference-in-pressure value can be determined whenever the pressure readings are received and added to the total value in block 2112. As an illustrative example, the computing system 1908 can determine the difference-in-pressure value for the mattress based on aggregating the mass of air that was removed from the mattress.

As described above, blocks 2102-2114 can be performed until the computing system 1908 detects a bed-exit event and/or a deactivation of the temperature adjustment system in block 2116.

Once the bed-exit event and/or the deactivation is detected, the computing system 1908 proceeds to block 2118, in which the computing system 1908 determines an air-change-value based on the difference-in-pressure value. The computing system 1908 can determine the air-change-value based on the difference-in-pressure value to represent a change in mass that contributes to the difference in pressure in the mattress.

The computing system 1908 can also determine that a threshold amount of time passed since the bed-exit event was detected and/or the temperature adjustment system 1906 was deactivated (block 2120). Once the threshold amount of time passed, the computing system 1908 generates instructions to add or remove a mass of air in the mattress based on the air-change-value (block 2122). The pump can optionally receive and execute these instructions in block 2124. In some implementations, the computing system 1908 can execute the instructions instead of the pump 1912.

In some implementations, the computing system 1908 may generate the instructions in block 2122 and then determine whether the threshold amount of time passed in block 2120. Sometimes, the computing system 1908 may not perform block 2120. Instead the computing system 1908 can generate the instructions and the instructions can have a condition for execution. The condition for execution can indicate that the threshold amount of time must pass before the mass of air is added or removed in the mattress. Executing the instructions can cause a corrective pressure adjustment to be made to the mattress, as described herein. In some implementations, the mass of air added into or removed from the mattress responsive to executing the instructions can be equivalent to the difference-in-pressure value. In some implementations, for example, the mass of air added to the mattress can be a threshold amount of warm air blown into the mattress. One or more other variations in the process 2100 are also possible.

Moreover, the techniques described in reference to the processes 2000 and 2100 can be performed for each side of a bed system. In other words, a mattress of the bed system can sleep two users. Each side of the bed can be independently adjusted to meet respective user preferences (e.g., firmness and/or temperature preferences). Therefore, the processes 200 and 2100 can be performed independently for each side of the bed system. Sometimes, adjustments made to one side of the bed system can affect the other side of the bed system. These effects, or cross-talk, can be detected by the sensors 1904A-N and mitigated using the disclosed techniques so that each user's side of the bed system meets the user's desired preferences.

FIG. 22 is an example graph 2200 of changes in pressure in a mattress of a bed system when temperature adjustments are made to a microclimate of the bed system. The graph 2200 can represent the pressure changes in an air chamber on one side of the bed system, where the bed system has two sides for two users. In this example graph 2200, temperature adjustments are made while the user is in bed to increase a temperature of the microclimate of the user's side of the bed system. Pressure adjustments are also made on the user's side of the bed system in order to maintain a pressure level of the air chamber on the user's side of the bed system closest to the user's desired firmness or pressure level. As shown in the graph 2200, pressure adjustments 2204A-N are shown as spikes. The pressure adjustments 2204A-N can be made at various different times while the temperature adjustments are being made. Sometimes, the pressure adjustments 2204A-N can be determined and made at predetermined time intervals, such as every 15 minutes. As described above, every time a pressure adjustment 2204A-N is made, the amount of air being removed from (or added to) the bed system can be added to a difference in pressure value. The difference in pressure value is then used to determine the final, corrective pressure adjustment, as described throughout this disclosure.

In the example graph 2200, the x-axis measures time and the y-axis measures pressure. Time is shown in terms of hours, minutes and second on the clock. In other embodiments, time could be shown in an alternative time measurement (such as total seconds). Pressure is shown in terms of “counts”, which is an internal unit of measure for the pressure. In alternative embodiments, pressure could be shown in Pascals or other unit of pressure.

While many users typically sleep during nighttime hours, sleep sessions and temperature adjustment routines can occur when suitable for the user. In this example, the routine occurs in the afternoon and the temperature adjustments can stop sometime between 3:30 PM and 4:00 PM. A threshold amount of time after the temperature adjustments stop, a corrective pressure adjustment 2208 can be made. Here, the corrective pressure adjustment is made at 4 PM, which can be 30 minutes after the temperature adjustments stop and/or a bed exit event is detected (e.g., one user exits the bed or both users exit the bed), whichever happens first. The corrective pressure adjustment 2208 can be made to achieve a pressure level 2206 that is close to or within some threshold of the user-desired pressure or firmness level. The corrective pressure adjustment 2208 can be an estimation of how much air was removed during all the previous adjustments 2204A-N. As a result, the corrective pressure adjustment 2208 can be performed to return the bed system to the pressure level before any of the adjustments 2204A-N had been made.

Sometimes, the pressure level 2206 can be higher than the user-desired pressure or firmness level. However, as shown in the graph 2200, over time as the bed system cools down in the ambient environment, the pressure level can drop, as shown by line 2202. The pressure level can drop to the user-desired pressure or firmness level in time for a next sleep session of the user (which in the example of FIG. 22 may be at 8:00 PM).

Claims

1. A bed system comprising: a mattress;at least one sensor configured to measure pressure readings in the mattress; anda controller in communication with the at least one sensor, the controller configured to: receive, from the at least one sensor, sensor data indicating pressure readings of the mattress;generate instructions to cause a pump to perform periodic pressure adjustments to account for pressure changes due to temperature changes;aggregate data reflecting the periodic pressure adjustments;determine an air-change-value, based on the aggregate data reflecting the periodic pressure adjustments; andgenerate instructions to cause the pump to execute a corrective pressure adjustment to the mattress based on the air-change-value.

2. The bed system of claim 1, wherein the air-change-value is determined at only one time after the controller stops operating to cause a temperature adjustment to a microclimate of the bed system.

3. The bed system of claim 1, wherein the pump executes the corrective pressure adjustment to the mattress at a single time only once after the controller stops operating to cause a temperature adjustment to a microclimate of the bed system.

4. The bed system of claim 1, wherein the temperature changes are caused by the controller generating instructions to cause a temperature adjustment to a microclimate of the bed system.

5. The bed system of claim 1, wherein the data reflecting the periodic pressure adjustments includes pressure adjustments made during a temperature adjustment routine and also pressure adjustments made after the temperature adjustment routine.

6. The bed system of claim 1, wherein generating the instructions to cause the pump to execute the corrective pressure adjustment further comprises: determining when the bed system is unoccupied; andinstructing the pump to execute the corrective pressure adjustment a threshold amount of time after determining that the bed system is unoccupied.

7. The bed system of claim 6, wherein determining when the bed system is unoccupied comprises detecting a bed-exit event by a user of the bed system.

8. The bed system of claim 6, wherein determining when the bed system is unoccupied comprises determining that the controller is no longer operating to cause a temperature adjustment to a microclimate of the bed system.

9. The bed system of claim 6, wherein determining when the bed system is unoccupied is based on temperature changes that are detected, by a temperature sensor, in the mattress.

10. The bed system of claim 1, wherein aggregating the data is performed, by the controller, after detection of a bed-exit event by a user of the bed system.

11. The bed system of claim 1, wherein the data reflecting the periodic pressure adjustments reflects a total mass of air added or removed during the periodic pressure adjustments.

12. The bed system of claim 1, wherein generating the instructions to cause the pump to execute the corrective pressure adjustment further comprises generating instructions that cause the pump to return a total mass of air in at least one air chamber of the mattress to be substantially equal to a mass of air that was in the at least one air chamber before the controller generated instructions to cause the pump to perform the periodic pressure adjustments.

13. The bed system of claim 1, wherein generating the instructions to cause the pump to execute the corrective pressure adjustment further comprises increasing pressure in one or more air chambers to a pressure value that is greater than an initial pressure value prior to the temperature changes.

14. The bed system of claim 1, wherein the periodic pressure adjustments are responsive to at least one of (i) an increase in pressure in one or more air chambers resulting from blowing warm air through a layer of the mattress or (ii) a decrease in pressure in the one or more air chambers resulting from blowing or drawing cooling air through the mattress.

15. The bed system of claim 14, wherein the controller drives the pump to increase or decrease pressure in one or more air chambers of the mattress to a user-desired firmness level while the controller also drives a temperature system to cause the temperature changes.

16. The bed system of claim 1, wherein the pressure readings are captured, by the at least one sensor, whenever a pressure adjustment is made to the mattress responsive to the controller operating to cause the temperature changes.

17. The bed system of claim 1, wherein a difference in pressure is determined as a total amount of pressure that was added to or removed from the mattress during the periodic pressure adjustments.

18. A system comprising: a bed including a mattress; anda controller configured to: receive data indicating pressure changes in the mattress;aggregate the received data;determine an air-change-value based on the aggregated data to represent a change in mass; andgenerate instructions that, when executed, cause a pressure adjustment to the mattress based on the air-change-value that represents the change in mass.

19. The system of claim 18, wherein the data indicating the pressure changes are received as the pressure changes are detected in the mattress.

20. The system of claim 18, wherein the pressure changes in the mattress are made, by the controller, responsive to the controller operating to cause a temperature adjustment at the system.