Inflatable air mattress system with detection techniques

Information

  • Patent Grant
  • 11122909
  • Patent Number
    11,122,909
  • Date Filed
    Monday, April 6, 2020
    4 years ago
  • Date Issued
    Tuesday, September 21, 2021
    3 years ago
Abstract
In one example, this disclosure describes a method including receiving, at a central controller of an air mattress system, a plurality of air pressure value, determining a plurality of average values using the plurality of the received air pressure values, calculating a difference value between a first one of the plurality of average values and a second one of the plurality of average values, comparing the difference value to a threshold value, determining, based on the comparison, whether a user of the air mattress system moved.
Description
TECHNICAL FIELD

This patent document pertains generally to mattresses and more particularly, but not by way of limitation, to an inflatable air mattress system.


BACKGROUND

Air bed systems, such as the one described in U.S. Pat. No. 5,904,172 which is incorporated herein by reference in its entirety, generally allow a user to select a desired pressure for each air chamber within the mattress. Upon selecting the desired pressure, a signal is sent to a pump and valve assembly in order to inflate or deflate the air bladders as necessary in order to achieve approximately the desired pressure within the air bladders.


In various examples, an air mattress control system allows a user to adjust the firmness or position of an air mattress bed. The mattress may have more than one zone thereby allowing a left and right side of the mattress to be adjusted to different firmness levels. Additionally, the bed may be adjustable to different positions. For example, the head section of the bed may be raised up while the foot section of the bed stays in place. In various examples, two separate remote controls are used to adjust the position and firmness, respectively.





BRIEF DESCRIPTION OF DRAWINGS

Some embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings in which:



FIG. 1 is a diagrammatic representation of an air bed system, according to an example.



FIG. 2 is a block diagram of various components of the air bed system of FIG. 1, according to an example.



FIG. 3 is a block diagram of an air bed system architecture, according to an example.



FIG. 4 is a block diagram of machine in the example form of a computer system within which a set instructions, for causing the machine to perform any one or more of the methodologies discussed herein, may be executed.



FIG. 5 is a flow diagram depicting an example method of detecting motion of a user of an air mattress, in accordance with various techniques of this disclosure.



FIG. 6 is a flow diagram depicting an example method of detecting the presence of a user of an air mattress, in accordance with various techniques of this disclosure.



FIG. 7 is a flow diagram depicting an example method of detecting the presence of a user of an air mattress, in accordance with various techniques of this disclosure.





DETAILED DESCRIPTION


FIG. 1 is a diagrammatic representation of air bed system 10 in an example embodiment. System 10 can include bed 12, which can comprise at least one air chamber 14 surrounded by a resilient border 16 and encapsulated by bed ticking 18. The resilient border 16 can comprise any suitable material, such as foam.


As illustrated in FIG. 1, bed 12 can be a two chamber design having a first air chamber 14A and a second air chamber 14B. First and second air chambers 14A and 14B can be in fluid communication with pump 20. Pump 20 can be in electrical communication with a remote control 22 via control box 24. Remote control 22 can communicate via wired or wireless means with control box 24. Control box 24 can be configured to operate pump 20 to cause increases and decreases in the fluid pressure of first and second air chambers 14A and 14B based upon commands input by a user through remote control 22. Remote control 22 can include display 26, output selecting means 28, pressure increase button 29, and pressure decrease button 30. Output selecting means 28 can allow the user to switch the pump output between the first and second air chambers 14A and 14B, thus enabling control of multiple air chambers with a single remote control 22. For example, output selecting means may by a physical control (e.g., switch or button) or an input control displayed on display 26. Alternatively, separate remote control units can be provided for each air chamber and may each include the ability to control multiple air chambers. Pressure increase and decrease buttons 29 and 30 can allow a user to increase or decrease the pressure, respectively, in the air chamber selected with the output selecting means 28. Adjusting the pressure within the selected air chamber can cause a corresponding adjustment to the firmness of the air chamber.



FIG. 2 is a block diagram detailing data communication between certain components of air bed system 10 according to various examples. As shown in FIG. 2, control box 24 can include power supply 34, processor 36, memory 37, switching means 38, and analog to digital (A/D) converter 40. Switching means 38 can be, for example, a relay or a solid state switch. Switching means 38 can be located in the pump 20 rather than the control box 24.


Pump 20 and remote control 22 can be in two-way communication with the control box 24. Pump 20 can include a motor 42, a pump manifold 43, a relief valve 44, a first control valve 45A, a second control valve 45B, and a pressure transducer 46, and can be fluidly connected with the first air chamber 14A and the second air chamber 14B via a first tube 48A and a second tube 48B, respectively. First and second control valves 45A and 45B can be controlled by switching means 38, and can be operable to regulate the flow of fluid between pump 20 and first and second air chambers 14A and 14B, respectively.


In an example, pump 20 and control box 24 can be provided and packaged as a single unit. Alternatively, pump 20 and control box 24 can be provided as physically separate units.


In operation, power supply 34 can receive power, such as 110 VAC power, from an external source and can convert the power to various forms required by certain components of the air bed system 10. Processor 36 can be used to control various logic sequences associated with operation of the air bed system 10, as will be discussed in further detail below.


The example of the air bed system 10 shown in FIG. 2 contemplates two air chambers 14A and 14B and a single pump 20. However, other examples may 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. In an example, a separate pump can be associated with each air chamber of the air bed system or a pump may be associated with multiple chambers of the air bed system. Separate pumps can allow each air chamber to be inflated or deflated independently and simultaneously. Furthermore, additional pressure transducers can also be incorporated into the air bed system such that, for example, a separate pressure transducer can be associated with each air chamber.


In the event that the processor 36 sends a decrease pressure command to one of air chambers 14A or 14B, switching means 38 can be used to convert the low voltage command signals sent by processor 36 to higher operating voltages sufficient to operate relief valve 44 of pump 20 and open control valves 45A or 45B. Opening relief valve 44 can allow air to escape from air chamber 14A or 14B through the respective air tube 48A or 48B. During deflation, pressure transducer 46 can send pressure readings to processor 36 via the A/D converter 40. The A/D converter 40 can receive analog information from pressure transducer 46 and can convert the analog information to digital information useable by processor 36. Processor 36 may send the digital signal to remote control 22 to update display 26 on the remote control in order to convey the pressure information to the user.


In the event that processor 36 sends an increase pressure command, pump motor 42 can be energized, sending air to the designated air chamber through air tube 48A or 48B via electronically operating corresponding valve 45A or 45B. While air is being delivered to the designated air chamber in order to increase the firmness of the chamber, pressure transducer 46 can sense pressure within pump manifold 43. Again, pressure transducer 46 can send pressure readings to processor 36 via A/D converter 40. Processor 36 can use the information received from A/D converter 40 to determine the difference between the actual pressure in air chamber 14A or 14B and the desired pressure. Processor 36 can send the digital signal to remote control 22 to update display 26 on the remote control in order to convey the pressure information to the user.


Generally speaking, during an inflation or deflation process, the pressure sensed within pump manifold 43 provides an approximation of the pressure within the air chamber. An example method of obtaining a pump manifold pressure reading that is substantially equivalent to the actual pressure within an air chamber is to turn off pump 20, allow the pressure within the air chamber 14A or 14B and pump manifold 43 to equalize, and then sense the pressure within pump manifold 43 with pressure transducer 46. Thus, providing a sufficient amount of time to allow the pressures within pump manifold 43 and chamber 14A or 14B to equalize may result in pressure readings that are accurate approximations of the actual pressure within air chamber 14A or 14B. In various examples, the pressure of 48A/B is continuously monitored using multiple pressure sensors.


In an example, another method of obtaining a pump manifold pressure reading that is substantially equivalent to the actual pressure within an air chamber is through the use of a pressure adjustment algorithm. In general, the method can function by approximating the air chamber pressure based upon a mathematical relationship between the air chamber pressure and the pressure measured within pump manifold 43 (during both an inflation cycle and a deflation cycle), thereby eliminating the need to turn off pump 20 in order to obtain a substantially accurate approximation of the air chamber pressure. As a result, a desired pressure setpoint within air chamber 14A or 14B can be achieved without the need for turning pump 20 off to allow the pressures to equalize. The latter method of approximating an air chamber pressure using mathematical relationships between the air chamber pressure and the pump manifold pressure is described in detail in U.S. application Ser. No. 12/936,084, the entirety of which is incorporated herein by reference.



FIG. 3 is illustrates an example air bed system architecture 300. Architecture 300 includes bed 301, central controller 302, firmness controller 304, articulation controller 306, temperature controller 308 in communication with one or more temperature sensors 309, external network device 310, remote controllers 312, 314, and voice controller 316. While described as using an air bed, the system architecture may also be used with other types of beds.


As illustrated in FIG. 3, network bed architecture 300 is configured as a star topology with central controller 302 and firmness controller 304 functioning as the hub and articulation controller 306, temperature controller 308, external network device 310, remote controls 312, 314, and voice controller 316 functioning as possible spokes, also referred to herein as components. Thus, in various examples, central controller 302 acts a relay between the various components.


In yet another example, central controller 302 listens to communications (e.g., control signals) between components even if the communication is not being relayed through central controller 302. For example, consider a user sending a command using remote 312 to temperature controller 308. Central controller 302 may listen for the command and check to determine if instructions are stored at central controller 302 to override the command (e.g., it conflicts with a previous setting). Central controller 302 may also log the command for future use (e.g., determining a pattern of user preferences for the components).


In other examples, different topologies may be used. For example, the components and central controller 302 may be configured as a mesh network in which each component may communicate with one or all of the other components directly, bypassing central controller 302. In various examples, a combination of topologies may be used. For example, remote controller 312 may communicate directly to temperature controller 308 but also relay the communication to central controller 302.


In various examples, the controllers and devices illustrated in FIG. 3 may each include a processor, a storage device, and a network interface. The processor may be a general purpose central processing unit (CPU) or application-specific integrated circuit (ASIC). The storage device may include volatile or non-volatile static storage (e.g., Flash memory, RAM, EPROM, etc.). The storage device may store instructions which, when executed by the processor, configure the processor to perform the functionality described herein. For example, a processor of firmness control 304 may be configured to send a command to a relief valve to decrease the pressure in a bed.


In various examples, the network interface of the components may be configured to transmit and receive communications in a variety of wired and wireless protocols. For example, the network interface may be configured to use the 802.11 standards (e.g., 802.11a/b/c/g/n/ac), PAN network standards such as 802.15.4 or Bluetooth, infrared, cellular standards (e.g., 3G/4G etc.), Ethernet, and USB for receiving and transmitting data. The previous list is not intended to exhaustive and other protocols may be used. Not all components of FIG. 3 need to be configured to use the same protocols. For example, remote control 312 may communicate with central controller 302 via Bluetooth while temperature controller 308 and articulation controller 306 are connected to central controller using 802.15.4. Within FIG. 3, the lightning connectors represent wireless connections and the solid lines represent wired connections, however, the connections between the components is not limited to such connections and each connection may be wired or wireless.


Moreover, in various examples, the processor, storage device, and network interface of a component may be located in different locations than various elements used to affect a command. For example, as in FIG. 1, firmness controller 302 may have a pump that is housed in a separate enclosure than the processor used to control the pump. Similar separation of elements may be employed for the other controllers and devices in FIG. 3.


In various examples, firmness controller 304 is configured to regulate pressure in an air mattress. For example, firmness controller 304 may include a pump such as described with reference to FIG. 2 (see e.g., pump 20). Thus, in an example, firmness controller 304 may respond to commands to increase or decrease pressure in the air mattress. The commands may be received from another component or based on stored application instructions that are part of firmness controller 304.


As illustrated in FIG. 3 central controller 302 includes firmness controller 304 and pump 305. Thus, in an example, the processor of central controller 302 and firmness control 304 may be the same processor. Furthermore, the pump may also be part of central controller 302. Accordingly, central controller 302 may be responsible for pressure regulation as well as other functionality as described in further portions of this disclosure.


In various examples, articulation controller 306 is configured to adjust the position of a bed (e.g., bed 301) by adjusting the foundation that supports the bed. In an example, separate positions may be set for two different beds (e.g., two twin beds placed next to each other). The foundation may include more than one zone that may be independently adjusted. Articulation control 306 may also be configured to provide different levels of massage to a person on the bed.


In various examples, temperature controller 308 is configured to increase, decrease, or maintain the temperature of a user. For example, a pad may be placed on top of or be part of the air mattress. Air may be pushed through the pad and vented to cool off a user of the bed. Conversely, the pad may include a heating element that may be used to keep the user warm. In various examples, the pad includes the temperature sensor 309 and temperature controller 308 receives temperature readings from the temperature sensor 309. In other examples, the temperature sensor 309 can be separate from the pad, e.g., part of the air mattress or foundation.


In various examples, additional controllers may communicate with central controller 302. These controllers may include, but are not limited to, illumination controllers for turning on and off light elements placed on and around the bed and outlet controllers for controlling power to one or more power outlets.


In various examples, external network device 310, remote controllers 312, 314 and voice controller 316 may be used to input commands (e.g., from a user or remote system) to control one or more components of architecture 300. The commands may be transmitted from one of the controllers 312, 314, or 316 and received in central controller 302. Central controller 302 may process the command to determine the appropriate component to route the received command. For example, each command sent via one of controllers 312, 314, or 316 may include a header or other metadata that indicates which component the command is for. Central controller 302 may then transmit the command via central controller 302's network interface to the appropriate component. In some examples, the commands may be transmitted to one or more cloud-based servers for processing.


For example, a user may input a desired temperature for the user's bed into remote control 312. The desired temperature may be encapsulated in a command data structure that includes the temperature as well as identifies temperature controller 308 as the desired component to be controlled. The command data structure may then be transmitted via Bluetooth to central controller 302. In various examples, the command data structure is encrypted before being transmitted. Central controller 302 may parse the command data structure and relay the command to temperature controller 308 using a PAN. Temperature controller 308 may be then configured its elements to increase or decrease the temperature of the pad depending on the temperature originally input into remote control 312.


In various examples, data may be transmitted from a component back to one or more of the remote controls. For example, the current temperature as determined by a sensor element of temperature controller 308, e.g., temperature sensor 309, the pressure of the bed, the current position of the foundation or other information may be transmitted to central controller 302. Central controller 302 may then transmit the received information and transmit it to remote control 312 where it may be displayed to the user.


In various examples, multiple types of devices may be used to input commands to control the components of architecture 300. For example, remote control 312 may be a mobile device such as a smart phone or tablet computer running an application. Other examples of remote control 312 may include a dedicated device for interacting with the components described herein. In various examples, remote controls 312/314 include a display device for displaying an interface to a user. Remote control 312/314 may also include one or more input devices. Input devices may include, but are not limited to, keypads, touchscreen, gesture, motion and voice controls.


Remote control 314 may be a single component remote configured to interact with one component of the mattress architecture. For example, remote control 314 may be configured to accept inputs to increase or decrease the air mattress pressure. Voice controller 316 may be configured to accept voice commands to control one or more components. In various examples, more than one of the remote controls 312/314 and voice controller 316 may be used.


With respect to remote control 312, the application may be configured to pair with one or more central controllers. For each central controller, data may be transmitted to the mobile device that includes a list of components linked with the central controller. For example, consider that remote control 312 is a mobile phone and that the application has been authenticated and paired with central controller 302. Remote control 312 may transmit a discovery request to central controller 302 to inquiry about other components and available services, e.g., services or components available in the cloud. In response, central controller 302 may transmit a list of services that includes available functions for adjusting the firmness of the bed, position of the bed, and temperature of the bed. In various embodiments, the application may then display functions for increasing/decreasing pressure of the air mattress, adjusting positions of the bed, and adjusting temperature. If components are added/removed to the architecture under control of central controller 302, an updated list may be transmitted to remote control 312 and the interface of the application may be adjusted accordingly.


In various examples, central controller 302 is configured as a distributor of software updates to components in architecture 300. For example, a firmware update for temperature controller 308 may become available. The update may be loaded into a storage device of central controller 302 (e.g., via a USB interface, a smartphone over Bluetooth, and from the cloud over WiFi). In wireless applications, the central controller 302 may, for example, receive updates from the cloud either from wifi or from a mobile connection over Bluetooth. Central controller 302 may then transmit the update to temperature controller 308 with instructions to update. Temperature controller 308 may attempt to install the update. A status message may be transmitted from temperature controller 308 to central controller 302 indicating the success or failure of the update.


In various examples, central controller 302 is configured to analyze data collected by a pressure transducer (e.g., transducer 46 with respect to FIG. 2) to determine various states of a person lying on the bed. For example, central controller 302 may determine the heart rate or respiration rate of a person lying in the bed. Additional processing may be done using the collected data to determine a possible sleep state of the person. For example, central controller 302 may determine when a person falls asleep and, while asleep, the various sleep states of the person.


In various examples, external network device 310 includes a network interface to interact with an external server for processing and storage of data related to components in architecture 300. For example, the determined sleep data as described above may be transmitted via a network (e.g., the Internet) from central controller 302 to external network device 310 for storage. In an example, the pressure transducer data may be transmitted to the external server for additional analysis. The external network device 310 may also analyze and filter the data before transmitting it to the external server.


In an example, diagnostic data of the components may also be routed to external network device 310 for storage and diagnosis on the external server. For example, if temperature controller 308 detects an abnormal temperature reading (e.g., a drop in temperature over one minute that exceeds a set threshold) diagnostic data (sensor readings, current settings, etc.) may be wireless transmitted from temperature controller 308 to central controller 302. Central controller 302 may then transmit this data via USB to external network device 310. External device 310 may wirelessly transmit the information to a WLAN access point where it is routed to the external server for analysis. In some examples, the external device 310 can transmit a message to a customer service division to initiate a repair call if necessary.


Example Machine Architecture and Machine-Readable Medium



FIG. 4 is a block diagram of machine in the example form of a computer system 400 within which instructions, for causing the machine to perform any one or more of the methodologies discussed herein, may be executed. In alternative embodiments, the machine operates as a standalone device or may be connected (e.g., networked) to other machines. In a networked deployment, the machine may operate in the capacity of a server or a client machine in server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a Personal Digital Assistant (PDA), a cellular telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine. Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.


The example computer system 400 includes a processor 402 (e.g., a central processing unit (CPU), a graphics processing unit (GPU), ASIC or a combination), a main memory 404 and a static memory 406, which communicate with each other via a bus 408. The computer system 400 may further include a video display unit 410 (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)). The computer system 400 also includes an alphanumeric input device 412 (e.g., a keyboard and/or touchscreen), a user interface (UI) navigation device 414 (e.g., a mouse), a disk drive unit 416, a signal generation device 418 (e.g., a speaker) and a network interface device 420.


Machine-Readable Medium


The disk drive unit 416 includes a machine-readable medium 422 on which is stored one or more sets of instructions and data structures (e.g., software) 424 embodying or utilized by any one or more of the methodologies or functions described herein. The instructions 424 may also reside, completely or at least partially, within the main memory 404 and/or within the processor 402 during execution thereof by the computer system 400, the main memory 404 and the processor 402 also constituting machine-readable media.


While the machine-readable medium 422 is shown in an example embodiment to be a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more instructions or data structures. The term “machine-readable medium” shall also be taken to include any tangible medium that is capable of storing, encoding or carrying instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the present invention, or that is capable of storing, encoding or carrying data structures utilized by or associated with such instructions. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media. Specific examples of machine-readable media include non-volatile memory, including by way of example semiconductor memory devices, e.g., Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.


Transmission Medium


The instructions 424 may further be transmitted or received over a communications network 426 using a transmission medium. The instructions 424 may be transmitted using the network interface device 420 and any one of a number of well-known transfer protocols (e.g., HTTP). Examples of communication networks include a local area network (“LAN”), a wide area network (“WAN”), the Internet, mobile telephone networks, Plain Old Telephone (POTS) networks, and wireless data networks (e.g., WiFi and WiMax networks). The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such software.


Detection Techniques


In addition to the techniques described above, this disclosure is directed to techniques for detection of various aspects of a user of system architecture 300. As described in more detail below, user sleeping motion, user presence, and/or user sleeping position can be detected using various techniques described in this disclosure


Regarding sleeping motion detection, the system architecture 300 can detect the motion of a user while the user is sleeping (“sleeping motion”) and determine from the detected motion the restlessness of the user. Using the determined restlessness, the system architecture 300 and, in particular, the central controller 302 can determine a sleep quality metric, index, number, or the like. In one example, the user can query the system architecture 300 to retrieve a previously determined sleep quality metric. In another example, the system architecture 300 can determine the sleep quality metric when queried by the user. In yet another example, the system architecture 300 can automatically, e.g., without user intervention, determine and report a sleep quality metric to the user, e.g., via a display.


In accordance with this disclosure, the central controller 302 can detect user sleeping motion via pressure changes. For example, the pressure transducer 46 (of FIG. 2) can be used to monitor the air pressure in the air mattress of the bed 301. If the user on the air mattress is not moving, the air pressure in the mattress can be substantially constant and, as such, the pressure transducer 46 and the central controller 302 will measure no significant pressure changes. When the user on the air mattress is moving, however, the air pressure in the mattress can fluctuate and, as such, the pressure transducer 46 and the central controller 302 can measure pressure changes. Thus, pressure changes measured by the pressure transducer 46 and the central controller 302 can indicate motion of the user on the air mattress.


In one example implementation, the central controller 302 can execute instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate. In one example, the central controller 302 can store the sampled air pressure values in a memory device. Using a moving (or rolling) average (or other central tendency), for example, the central controller 302 can determine average (or other central tendency) air pressure values and then determine whether the user has moved on the air mattress based on the rolling average. When the user is stationary, the rolling average will be substantially constant, e.g., no pressure changes. When the user moves, e.g., rolls to the side, the air pressure values may fluctuate, thereby changing the value of the rolling average. The central controller 302 can calculate a difference between the rolling average values and determine that the user is moving based on the calculated difference. In some examples, the central controller 302 can initiate a timer using the rolling average values in order to determine how long the user was moving. For example, the central controller 302 can initiate a timer when the rolling average value exceeded a specified value and stop the timer when the rolling average value drops below the specified value. The accumulated time of the timer indicates how long the user was restless during their sleep.


As indicated above, the central controller 302 can determine a user's sleep state, e.g., rapid eye movement (“REM”) or non-rapid eye movement (“NREM”). The central controller 302 can determine a user's sleep state by using various biometric signals such as heart rate, respiration, and/or movement of the user. Techniques for monitoring a user's sleep using heart rate information, respiration rate information, and other user information are disclosed in U.S. Patent Application Publication No. 20100170043 to Steven J. Young et al., titled “APPARATUS FOR MONITORING VITAL SIGNS,” the entire content of which is incorporated herein by reference. Using the techniques described above, the central controller 302 can detect user motion and correlate the detected motion with a determined sleep state.



FIG. 5 is a flow diagram depicting an example method of detecting motion of a user of an air mattress. In FIG. 5, the central controller 302 executes instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate (500). The central controller 302 determines rolling average values, for example, based on the measured air pressure values (502). The central controller 302 calculates a difference value between the rolling average values and determines a pressure change based on calculated differences (504). The central controller 302 compares the determined pressure change to a threshold value, e.g., stored in a memory device, and determines that the user is moving if the determined pressure change is above the threshold value (506). In this manner, the central controller can detect sleeping motion of a user.


In some implementations, the example method shown in FIG. 5 further includes the optional act of the central controller 302 determining a sleep state, e.g., REM or NREM, of the user.


In addition to the techniques described above, this disclosure is directed to techniques for detecting whether a user is present on the bed 301. In one example implementation, the central controller 302 can detect user presence via gross pressure changes. For example, the central controller 302 and the pressure transducer 46 (of FIG. 2) can be used to monitor the air pressure in the air mattress of the bed 301. If the user sits or lies down on the air mattress, the air pressure in the air mattress changes, e.g., increases, due to the additional weight of the user, which results in a gross pressure change. The central controller 302 can determine whether the user is now on the bed based on the gross pressure change, e.g., over some time period. For example, by determining a rate of change of pressure, e.g., over 1-10 minutes, and comparing the determined rate of change to a threshold value, the central controller can determine whether the user is now on the bed.


Similarly, if the user is on the bed and then gets out of bed, the air pressure in the air mattress changes, e.g., decreases, which results in a gross pressure change. The central controller 302 can determine whether the user left the bed based on the gross pressure change, e.g., over some time period. For example, by determining a rate of change of pressure, e.g., over 1-10 minutes, and comparing the determined rate of change to a threshold value, the central controller 302 can determine whether the user left the bed.


In some example implementations, the techniques for detecting whether a user is present on the bed 301 can be combined with the techniques for detecting user movement described above. For example, in addition to determining a rate of change of pressure and comparing the determined rate of change to a threshold value in order to determine whether the user is in or out of the bed 301, the central controller 302 can also use the rolling average techniques described above to detect user movement. For instance, if the central controller 302 determines that a rate of change of pressure is greater than a threshold value, thereby indicating that a user has either gotten into or out of the bed 301, the central controller 302 can further analyze rolling averages of received air pressure values from the pressure transducer 46 (of FIG. 2) to confirm that the user is in the bed 301. If the rolling averages fluctuate, as would be consistent with movement of the user, then the central controller 302 can determine that the user is in the bed 301.



FIG. 6 is a flow diagram depicting an example method of detecting the presence of a user of an air mattress. In FIG. 6, the central controller 302 executes instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate (600). The central controller 302 determines a rate of gross pressure change, for example, based on the measured air pressure values (602). Then, the central controller 302 compares the determined rate of change to a threshold value (604). If the central controller 302 determines that the rate of change is greater than a threshold value, the central controller 302 determines that the user has either transitioned into or out of the bed 301. If the rate of change is negative, then the central controller determines that the user has gotten out of bed. In this manner, the central controller can detect the presence or absence of a user.


In some examples, the central controller 302 can confirm the presence of the user in the bed 301, as shown in the optional steps 606-610 of FIG. 6. To determine that the user remains in the bed 301, the central controller 302 determines rolling average values, for example, based on the measured air pressure values (606). The central controller 302 calculates a difference value between the rolling average values and determines a pressure change based on calculated differences (608). The central controller 302 compares the determined pressure change to a threshold value, e.g., stored in a memory device, and determines that the user is moving if the determined pressure change is above the threshold value (610). The threshold value may be a static value, e.g., a specified or fixed value, or a dynamic value, e.g., a value that adjusts over time.


In some examples, the central controller 302 can detect user presence using instantaneous pressure changes. Then, presence can be verified via the detection of known biometric signals, for example.


In one example implementation, the central controller 302 can detect user presence using temperature changes detected in the mattress, e.g., using one or more temperature sensors positioned in or on the mattress. The temperature sensors and the central controller 302 can detect a rise in temperature, e.g., over a specified period of time, and determine that a user is present in the bed. For example, if the central controller 302 detects a rise in temperature and then determines that the detected rise in temperature was not caused by the system's temperature controller 308, the central controller 302 can determine that the user is present.


In addition to the techniques described above, this disclosure is directed to techniques for detecting a sleeping position of a user of the bed 301, e.g., lying on a side, lying on a back, lying on a front. In one example implementation, the central controller 302 can determine a sleeping position of the user by first detecting user movement, e.g., via changes in a rolling average, and then a gross pressure change, as described in more detail below.


In one example implementation, the central controller 302 can execute instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate. In one example, the central controller 302 can store the sampled air pressure values in a memory device. Using a moving (or rolling) average, for example, the central controller 302 can determine average (or other central tendency) air pressure values and then determine whether the user has moved on the air mattress based on the rolling average. That is, when the user is stationary, the rolling average will be substantially constant, e.g., no pressure changes. When the user moves, e.g., rolls to the side, the air pressure values may fluctuate, thereby changing the value of the rolling average. The central controller 302 can calculate a difference between the rolling average values and determine that the user is moving based on the calculated difference.


Once the movement has substantially stopped, the central controller 302 can determine a gross pressure change from the measured air pressure values to determine whether the user is on their side, back, or front. That is, because the pressure in an air mattress is different depending on whether the user is lying on their side, back, or front, the central controller 302 can determine a gross pressure change based on the air pressure in the air mattress before and after the detected movement. If the gross pressure change is positive and within a range of values, then the central controller 302 determines that the user has moved from their back to their side, for example. If the gross pressure change is negative and within a range of values, then the central controller 302 determines that the user has moved from their side to their back, for example. In this manner, the central controller 302 can determine a sleeping position of a user.


In addition, the central controller 302 can use biometric data to determine a sleeping position of the user. That is, because the received respiration rate signal, heart rate signal, and/or other biometric signals of the user may be different depending on whether the user is lying on their side, back, or front, the central controller 302 can determine a sleeping position based on the received biometric signals.



FIG. 7 is a flow diagram depicting an example method of detecting the presence of a user of an air mattress. In FIG. 7, the central controller 302 executes instructions that cause the pressure transducer 46 to measure air pressure values at a sample rate (700). The central controller 302 determines rolling average values, for example, based on the measured air pressure values (702). The central controller 302 calculates a difference value between the rolling average values and determines a pressure change based on calculated differences (704). The central controller 302 compares the determined pressure change to a threshold value, e.g., stored in a memory device, and determines that the user is moving, e.g., from their front to their side, if the determined pressure change is above the threshold value (706).


The central controller 302 determines a gross pressure change value, for example, based on the measured air pressure values (708) before and after the user movement. Then, the central controller 302 compares the determined gross pressure change to a range of values (710). If the gross pressure change is positive and within the range of values, then the central controller 302 determines that the user has moved from their back to their side, for example. If the gross pressure change is negative and within a range of values, then the central controller 302 determines that the user has moved from their side to their back, for example. In this manner, the central controller 302 can determine a sleeping position of a user.


Although an embodiment has been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the invention. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. The accompanying drawings that form a part hereof, show by way of illustration, and not of limitation, specific embodiments in which the subject matter may be practiced. The embodiments illustrated are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed herein. Other embodiments may be utilized and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. This Detailed Description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled. As it common, the terms “a” and “an” may refer to one or more unless otherwise indicated.

Claims
  • 1. A method comprising: receiving, at a central controller of an air mattress system having a mattress comprising a first-side to support a first-side user and a second-side to simultaneously support a second-side user, a plurality of air pressure values from a single pressure sensor configured to sense pressure changes on the mattress i) in the first-side caused by the first-side user laying on the mattress and also ii) in the second-side caused by the second-side user laying on the mattress, wherein the mattress comprises a first chamber and a second chamber, the first chamber corresponding to the first-side of the air mattress and the second chamber corresponding to the second-side of the air mattress;determining a plurality of average values using the plurality of the received air pressure values;calculating a difference value between a first one of the plurality of average values and a second one of the plurality of average values;comparing the difference value to a threshold value; andsimultaneously: determining, based on the comparison, whether the first-side user of the air mattress system is present on the air mattress system;determining, based on the comparison, whether the first-side user of the air mattress system moved;determining, based on the comparison, whether the second-side user of the air mattress system is present on the air mattress system; anddetermining, based on the comparison, whether the second-side user of the air mattress system moved.
  • 2. The method of claim 1, wherein the plurality of average values comprises a rolling average of pressure values.
  • 3. The method of claim 2, wherein the plurality of average values further comprises variations in the rolling average of pressure values.
  • 4. The method of claim 1, wherein determining whether the first-side user of the air matters system moved further comprises determining the first-side user's sleep state out of a group of possible sleep states.
  • 5. The method of claim 4, wherein the group of possible sleep states includes, but is not limited to, a Rapid Eye Movement (REM) state and a Non-Rapid Eye Movement (NREM) state.
  • 6. The method of claim 1, wherein determining whether the first-side user of the air matters system moved further comprises determining the first-side user's sleep position out of a group of possible sleep positions.
  • 7. The method of claim 6, wherein the group of possible sleep positions includes, but is not limited to, a laying-on-side sleep position, a laying-on-back sleep position, and a laying-on-front sleep position.
  • 8. A system comprising: a mattress having a first-side to support a first-side user and a second-side to simultaneously support a second-side user, wherein the mattress comprises a first chamber and a second chamber, the first chamber corresponding to the first-side of the mattress and the second chamber corresponding to the second-side of the mattress;a single pressure sensor, the pressure sensor configured to sense pressure changes on the mattress i) in the first-side caused by the first-side user laying on the mattress and also ii) in the second-side caused by the second-side user laying on the mattress;a processor configured to: receive, from the pressure sensor, a plurality of pressure values;calculate, from the plurality of pressure values, a plurality of calculated values; andsimultaneously: classify, using the plurality of calculated values, the first-side user into one of two or more possible movement classifications;classify, using the plurality of calculated values, the first-side user into one of two or more possible presence classifications;classify, using the plurality of calculated values, the second-side user into one of two or more possible movement classifications; andclassify, using the plurality of calculated values, the second-side user into one of two or more possible presence classifications.
  • 9. The system of claim 8, wherein the plurality of calculated values comprises a rolling average of pressure values.
  • 10. The system of claim 9, wherein the plurality of calculated values further comprises variations in the rolling average of pressure values.
  • 11. The system of claim 8, wherein the processor is further configured to simultaneously determine the first-side user's sleep state out of a group of possible sleep states.
  • 12. The system of claim 11, wherein the group of possible sleep states includes, but is not limited to, a Rapid Eye Movement (REM) state and a Non-Rapid Eye Movement (NREM) state.
  • 13. The system of claim 8, wherein the processor is further configured to simultaneously determine the first-side user's sleep position out of a group of possible sleep positions.
  • 14. The system of claim 13, wherein the group of possible sleep positions includes, but is not limited to, a laying-on-side sleep position, a laying-on-back sleep position, and a laying-on-front sleep position.
  • 15. The system of claim 8, the system further comprising: a first-side tube that fluidly connects the single pressure sensor to the first-side;a second-side tube that fluidly connects the single pressure sensor to the second-side;a first-side valve and a second-side valve operable to regulate flow of fluid in the first-side tube and the second-side tube.
  • 16. The system of claim 8, wherein the plurality of pressure values comprise both i) some pressure values corresponding to the first-side tube and ii) some other pressure values corresponding to the second-side tube.
CROSS-REFERENCES

This application is a continuation of U.S. application Ser. No. 16/510,265, filed Jul. 12, 2019, which is a continuation of U.S. application Ser. No. 15/341,106, filed Nov. 2, 2016, which is a continuation of U.S. application Ser. No. 14/209,414, filed Mar. 13, 2014, now U.S. Pat. No. 9,510,688, which claims the benefit of priority of U.S. Provisional Application No. 61/781,311 titled, “INFLATABLE AIR MATTRESS SYSTEM WITH DETECTION TECHNIQUES” to Rob Nunn and filed on Mar. 14, 2013, the entire content being incorporated herein by reference in its entirety. The subject matter described in this application is related to subject matter disclosed in the following applications: U.S. Application Ser. No. 61/781,266, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS ALARM AND MONITORING SYSTEM”; U.S. Application Ser. No. 61/781,503, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS SYSTEM ARCHITECTURE”; U.S. Application Ser. No. 61/781,541, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS AUTOFILL AND OFF BED PRESSURE ADJUSTMENT”; U.S. Application Ser. No. 61/781,571, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS SLEEP ENVIRONMENT ADJUSTMENT AND SUGGESTIONS”; U.S. application Ser. No. 61/782,394, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS SNORING DETECTION AND RESPONSE”; U.S. Application Ser. No. 61/781,296, filed on Mar. 14, 2013, titled “INFLATABLE AIR MATTRESS WITH LIGHT AND VOICE CONTROLS.” The contents of each of the above-references U.S. patent applications are herein incorporated by reference in their entirety.

US Referenced Citations (379)
Number Name Date Kind
3727606 Sielaff Apr 1973 A
4146885 Lawson, Jr. Mar 1979 A
4299233 Lemelson Nov 1981 A
4438771 Friesen et al. Mar 1984 A
4657026 Tagg Apr 1987 A
4662012 Tarbet May 1987 A
4766628 Walker Aug 1988 A
4788729 Walker Dec 1988 A
4829616 Walker May 1989 A
4890344 Walker Jan 1990 A
4897890 Walker Feb 1990 A
4908895 Walker Mar 1990 A
4991244 Walker Feb 1991 A
5062169 Kennedy et al. Nov 1991 A
5144706 Walker et al. Sep 1992 A
5170522 Walker Dec 1992 A
5197490 Steiner et al. Mar 1993 A
5459452 DePonte Oct 1995 A
5509154 Shafer et al. Apr 1996 A
5515865 Scanlon May 1996 A
5564140 Shoenhair et al. Oct 1996 A
5642546 Shoenhair Jul 1997 A
5652484 Shafer et al. Jul 1997 A
5675855 Culp Oct 1997 A
5684460 Scanlon Nov 1997 A
5699038 Ulrich et al. Dec 1997 A
5724990 Ogino Mar 1998 A
5765246 Shoenhair Jun 1998 A
5771511 Kummer et al. Jun 1998 A
5796340 Miller Aug 1998 A
5844488 Musick Dec 1998 A
5848450 Oexman et al. Dec 1998 A
5903941 Shafer et al. May 1999 A
5904172 Gifft et al. May 1999 A
5948303 Larson Sep 1999 A
5964720 Pelz Oct 1999 A
5989193 Sullivan Nov 1999 A
6014346 Malone Jan 2000 A
6024699 Surwit et al. Feb 2000 A
6037723 Shafer et al. Mar 2000 A
6058537 Larson May 2000 A
6062216 Corn May 2000 A
6088642 Finkelstein Jul 2000 A
6108844 Kraft et al. Aug 2000 A
6120441 Griebel Sep 2000 A
6146332 Pinsonneault et al. Nov 2000 A
6147592 Ulrich et al. Nov 2000 A
6161231 Kraft et al. Dec 2000 A
6202239 Ward et al. Mar 2001 B1
6208250 Dixon et al. Mar 2001 B1
6234642 Bokaemper May 2001 B1
6272378 Baumgart-Schmitt Aug 2001 B1
6386201 Fard May 2002 B1
6396224 Luff et al. May 2002 B1
6397419 Mechache Jun 2002 B1
6438776 Ferrand et al. Aug 2002 B2
6450957 Yoshimi et al. Sep 2002 B1
6468234 Ford et al. Oct 2002 B1
6483264 Shafer et al. Nov 2002 B1
6485441 Woodward Nov 2002 B2
6546580 Shimada Apr 2003 B2
6547743 Brydon Apr 2003 B2
6561047 Gladney May 2003 B1
6566833 Bartlett May 2003 B2
6686711 Rose Feb 2004 B2
6708357 Gaboury et al. Mar 2004 B2
6719708 Jansen Apr 2004 B1
6763541 Mahoney et al. Jul 2004 B2
6778090 Newham Aug 2004 B2
6804848 Rose Oct 2004 B1
6832397 Gaboury et al. Dec 2004 B2
6840117 Hubbard, Jr. Jan 2005 B2
6840907 Brydon Jan 2005 B1
6847301 Olson Jan 2005 B1
6878121 Krausman Apr 2005 B2
6883191 Gaboury et al. Apr 2005 B2
6993380 Modarres Jan 2006 B1
7041049 Raniere May 2006 B1
7077810 Lange et al. Jul 2006 B2
7150718 Okada Dec 2006 B2
7237287 Weismiller et al. Jul 2007 B2
7253366 Bhai Aug 2007 B2
7304580 Sullivan et al. Dec 2007 B2
7314451 Halperin et al. Jan 2008 B2
7321811 Rawls-Meehan Jan 2008 B1
7330127 Price et al. Feb 2008 B2
7389554 Rose Jun 2008 B1
7396331 Mack Jul 2008 B2
7429247 Okada et al. Sep 2008 B2
7437787 Bhai Oct 2008 B2
7465280 Rawls-Meehan Dec 2008 B2
7480951 Weismiller Jan 2009 B2
7506390 Dixon et al. Mar 2009 B2
7520006 Menkedick et al. Apr 2009 B2
7524279 Auphan Apr 2009 B2
7532934 Lee et al. May 2009 B2
7538659 Ulrich May 2009 B2
7557718 Petrosenko et al. Jul 2009 B2
7568246 Weismiller et al. Aug 2009 B2
7637859 Lindback et al. Dec 2009 B2
7652581 Gentry et al. Jan 2010 B2
7666151 Sullivan et al. Feb 2010 B2
7669263 Menkedick et al. Mar 2010 B2
7676872 Block et al. Mar 2010 B2
7685663 Rawls-Meehan Mar 2010 B2
7699784 Wan et al. Apr 2010 B2
7717848 Heruth et al. May 2010 B2
7749154 Cornel Jul 2010 B2
7784128 Kramer Aug 2010 B2
7785257 Mack et al. Aug 2010 B2
7805785 Rawls-Meehan Oct 2010 B2
7841031 Rawls-Meehan Nov 2010 B2
7849545 Flocard et al. Dec 2010 B2
7854031 Rawls-Meehan Dec 2010 B2
7860723 Rawls-Meehan Dec 2010 B2
7862523 Ruotoistenmaki Jan 2011 B2
7865988 Koughan et al. Jan 2011 B2
7868757 Radivojevic et al. Jan 2011 B2
7869903 Turner et al. Jan 2011 B2
7930783 Rawls-Meehan Apr 2011 B2
7933669 Rawls-Meehan Apr 2011 B2
7953613 Gizewski May 2011 B2
7954189 Rawls-Meehan Jun 2011 B2
7956755 Lee et al. Jun 2011 B2
7967739 Auphan Jun 2011 B2
7979169 Rawls-Meehan Jul 2011 B2
8002553 Hastlestad et al. Aug 2011 B2
8019486 Rawls-Meehan Sep 2011 B2
8020230 Rawls-Meehan Sep 2011 B2
8028363 Rawls-Meehan Oct 2011 B2
8032263 Rawls-Meehan Oct 2011 B2
8032960 Rawls-Meehan Oct 2011 B2
8046114 Rawls-Meehan Oct 2011 B2
8046115 Rawls-Meehan Oct 2011 B2
8046116 Rawls-Meehan Oct 2011 B2
8046117 Rawls-Meehan Oct 2011 B2
8050805 Rawls-Meehan Nov 2011 B2
8052612 Tang Nov 2011 B2
8065764 Kramer Nov 2011 B2
8069852 Burton Dec 2011 B2
8073535 Jung et al. Dec 2011 B2
8078269 Suzuki et al. Dec 2011 B2
8078336 Rawls-Meehan Dec 2011 B2
8078337 Rawls-Meehan Dec 2011 B2
8083682 Dalal et al. Dec 2011 B2
8090478 Skinner et al. Jan 2012 B2
8092399 Sasaki Jan 2012 B2
8094013 Lee Jan 2012 B1
8096960 Loree et al. Jan 2012 B2
8146191 Bobey et al. Apr 2012 B2
8150562 Rawls-Meehan Apr 2012 B2
8166589 Hijlkema May 2012 B2
8181296 Rawls-Meehan May 2012 B2
8266742 Andrienko Sep 2012 B2
8272892 McNeely et al. Sep 2012 B2
8276585 Buckley Oct 2012 B2
8279057 Hirose Oct 2012 B2
8280748 Allen Oct 2012 B2
8281433 Riley et al. Oct 2012 B2
8282452 Grigsby et al. Oct 2012 B2
8284047 Collins, Jr. Oct 2012 B2
8287452 Young et al. Oct 2012 B2
8336369 Mahoney Dec 2012 B2
8341784 Scott Jan 2013 B2
8341786 Oexman et al. Jan 2013 B2
8348840 Heit et al. Jan 2013 B2
8350709 Receveur Jan 2013 B2
8375488 Rawls-Meehan Feb 2013 B2
8376954 Lange et al. Feb 2013 B2
8382484 Wetmore et al. Feb 2013 B2
8386008 Yuen et al. Feb 2013 B2
8398538 Dothie Mar 2013 B2
8403865 Halperin et al. Mar 2013 B2
8413274 Weismiller et al. Apr 2013 B2
8421606 Collins, Jr. et al. Apr 2013 B2
8428696 Foo Apr 2013 B2
8444558 Young et al. May 2013 B2
8491492 Shinar et al. Jul 2013 B2
8517953 Lange et al. Aug 2013 B2
8620615 Oexman Dec 2013 B2
8672853 Young Mar 2014 B2
8679034 Halperin et al. Mar 2014 B2
8769747 Mahoney et al. Jul 2014 B2
8840564 Pinhas et al. Sep 2014 B2
8931329 Mahoney et al. Jan 2015 B2
8966689 McGuire et al. Mar 2015 B2
8973183 Palashewski et al. Mar 2015 B1
8984687 Stusynski et al. Mar 2015 B2
9445751 Young Sep 2016 B2
20020091467 Rose Jul 2002 A1
20020124311 Peftoulidis Sep 2002 A1
20030045806 Brydon Mar 2003 A1
20030128125 Burbank et al. Jun 2003 A1
20030166995 Jansen Sep 2003 A1
20030182728 Chapman et al. Oct 2003 A1
20030221261 Tarbet et al. Dec 2003 A1
20040049132 Barron et al. Mar 2004 A1
20050022606 Partin et al. Feb 2005 A1
20050038326 Mathur Feb 2005 A1
20050115561 Stahmann et al. Jun 2005 A1
20050131318 Peifer et al. Jun 2005 A1
20050190068 Gentry et al. Sep 2005 A1
20050283039 Cornel Dec 2005 A1
20060020178 Sotos et al. Jan 2006 A1
20060031996 Rawls-Meehan Feb 2006 A1
20060047217 Mirtalebi Mar 2006 A1
20060152378 Lokhorst Jul 2006 A1
20060162074 Bader Jul 2006 A1
20070118054 Pinhas et al. May 2007 A1
20070149883 Yesha Jun 2007 A1
20070179334 Groves et al. Aug 2007 A1
20070180047 Dong et al. Aug 2007 A1
20070180618 Weismiller et al. Aug 2007 A1
20070276202 Raisanen et al. Nov 2007 A1
20080052837 Blumberg Mar 2008 A1
20080071200 Rawls-Meehan Mar 2008 A1
20080077020 Young et al. Mar 2008 A1
20080092291 Rawls-Meehan Apr 2008 A1
20080092292 Rawls-Meehan Apr 2008 A1
20080092293 Rawls-Meehan Apr 2008 A1
20080092294 Rawls-Meehan Apr 2008 A1
20080093784 Rawls-Meehan Apr 2008 A1
20080097774 Rawls-Meehan Apr 2008 A1
20080097778 Rawls-Meehan Apr 2008 A1
20080097779 Rawls-Meehan Apr 2008 A1
20080104750 Rawls-Meehan May 2008 A1
20080104754 Rawls-Meehan May 2008 A1
20080104755 Rawls-Meehan May 2008 A1
20080104756 Rawls-Meehan May 2008 A1
20080104757 Rawls-Meehan May 2008 A1
20080104758 Rawls-Meehan May 2008 A1
20080104759 Rawls-Meehan May 2008 A1
20080104760 Rawls-Meehan May 2008 A1
20080104761 Rawls-Meehan May 2008 A1
20080109959 Rawls-Meehan May 2008 A1
20080109964 Flocard et al. May 2008 A1
20080109965 Mossbeck May 2008 A1
20080115272 Rawls-Meehan May 2008 A1
20080115273 Rawls-Meehan May 2008 A1
20080115274 Rawls-Meehan May 2008 A1
20080115275 Rawls-Meehan May 2008 A1
20080115276 Rawls-Meehan May 2008 A1
20080115277 Rawls-Meehan May 2008 A1
20080115278 Rawls-Meehan May 2008 A1
20080115279 Rawls-Meehan May 2008 A1
20080115280 Rawls-Meehan May 2008 A1
20080115281 Rawls-Meehan May 2008 A1
20080115282 Rawls-Meehan May 2008 A1
20080120775 Rawls-Meehan May 2008 A1
20080120776 Rawls-Meehan May 2008 A1
20080120777 Rawls-Meehan May 2008 A1
20080120778 Rawls-Meehan May 2008 A1
20080120779 Rawls-Meehan May 2008 A1
20080120784 Warner et al. May 2008 A1
20080122616 Warner May 2008 A1
20080126122 Warner et al. May 2008 A1
20080126132 Warner May 2008 A1
20080127418 Rawls-Meehan Jun 2008 A1
20080127424 Rawls-Meehan Jun 2008 A1
20080147442 Warner Jun 2008 A1
20080162171 Rawls-Meehan Jul 2008 A1
20080189865 Bhai Aug 2008 A1
20080275314 Mack et al. Nov 2008 A1
20080281611 Rawls-Meehan Nov 2008 A1
20080281612 Rawls-Meehan Nov 2008 A1
20080281613 Rawls-Meehan Nov 2008 A1
20080288272 Rawls-Meehan Nov 2008 A1
20080288273 Rawls-Meehan Nov 2008 A1
20080306351 Izumi Dec 2008 A1
20080307582 Flocard et al. Dec 2008 A1
20090018853 Rawls-Meehan Jan 2009 A1
20090018854 Rawls-Meehan Jan 2009 A1
20090018855 Rawls-Meehan Jan 2009 A1
20090018856 Rawls-Meehan Jan 2009 A1
20090018857 Rawls-Meehan Jan 2009 A1
20090018858 Rawls-Meehan Jan 2009 A1
20090024406 Rawls-Meehan Jan 2009 A1
20090037205 Rawls-Meehan Feb 2009 A1
20090043595 Rawls-Meehan Feb 2009 A1
20090051550 Sasaki Feb 2009 A1
20090064420 Rawls-Meehan Mar 2009 A1
20090100599 Rawls-Meehan Apr 2009 A1
20090121660 Rawls-Meehan May 2009 A1
20090139029 Rawls-Meehan Jun 2009 A1
20090203972 Henehgan et al. Aug 2009 A1
20090275808 DiMaio et al. Nov 2009 A1
20090314354 Chaffee Dec 2009 A1
20100025900 Rawls-Meehan Feb 2010 A1
20100090383 Rawls-Meehan Apr 2010 A1
20100094139 Brauers et al. Apr 2010 A1
20100099954 Dickinson et al. Apr 2010 A1
20100152546 Behan et al. Jun 2010 A1
20100170043 Young et al. Jul 2010 A1
20100174198 Young et al. Jul 2010 A1
20100174199 Young et al. Jul 2010 A1
20100191136 Wolford Jul 2010 A1
20100191390 Champion Jul 2010 A1
20100199432 Rawls-Meehan Aug 2010 A1
20100231421 Rawls-Meehan Sep 2010 A1
20100302044 Chacon et al. Dec 2010 A1
20100317930 Oexman et al. Dec 2010 A1
20110001622 Gentry Jan 2011 A1
20110010014 Oexman et al. Jan 2011 A1
20110015495 Dothie et al. Jan 2011 A1
20110041592 Schmoeller et al. Feb 2011 A1
20110068935 Riley et al. Mar 2011 A1
20110087113 Mack et al. Apr 2011 A1
20110094041 Rawls-Meehan Apr 2011 A1
20110115635 Petrovski et al. May 2011 A1
20110138539 Mahoney et al. Jun 2011 A1
20110144455 Young et al. Jun 2011 A1
20110156915 Brauers et al. Jun 2011 A1
20110224510 Oakhill Sep 2011 A1
20110239374 Rawls-Meehan Oct 2011 A1
20110252569 Rawls-Meehan Oct 2011 A1
20110258784 Rawls-Meehan Oct 2011 A1
20110282216 Shinar et al. Nov 2011 A1
20110283462 Rawls-Meehan Nov 2011 A1
20110291795 Rawls-Meehan Dec 2011 A1
20110291842 Oexman Dec 2011 A1
20110295083 Doelling et al. Dec 2011 A1
20110302720 Yakam et al. Dec 2011 A1
20110306844 Young Dec 2011 A1
20120025992 Tallent et al. Feb 2012 A1
20120053423 Kenalty et al. Mar 2012 A1
20120053424 Kenalty et al. Mar 2012 A1
20120056729 Rawls-Meehan Mar 2012 A1
20120057685 Rawls-Meehan Mar 2012 A1
20120090698 Giori et al. Apr 2012 A1
20120110738 Rawls-Meehan May 2012 A1
20120110739 Rawls-Meehan May 2012 A1
20120110740 Rawls-Meehan May 2012 A1
20120112890 Rawls-Meehan May 2012 A1
20120112891 Rawls-Meehan May 2012 A1
20120112892 Rawls-Meehan May 2012 A1
20120116591 Rawls-Meehan May 2012 A1
20120119886 Rawls-Meehan May 2012 A1
20120119887 Rawls-Meehan May 2012 A1
20120138067 Rawls-Meehan Jun 2012 A1
20120154155 Brasch Jun 2012 A1
20120186019 Rawls-Meehan Jul 2012 A1
20120198632 Rawls-Meehan Aug 2012 A1
20120259248 Receveur Oct 2012 A1
20120311790 Nomura et al. Dec 2012 A1
20130160212 Oexman et al. Jun 2013 A1
20130174345 Leu Jul 2013 A1
20130174347 Oexman et al. Jul 2013 A1
20130227787 Herbst et al. Sep 2013 A1
20140007656 Mahoney Jan 2014 A1
20140137332 McGuire et al. May 2014 A1
20140182061 Zaiss Jul 2014 A1
20140250597 Chen et al. Sep 2014 A1
20140257571 Chen et al. Sep 2014 A1
20140259417 Nunn et al. Sep 2014 A1
20140259418 Nunn et al. Sep 2014 A1
20140259419 Stusynski Sep 2014 A1
20140259431 Fleury Sep 2014 A1
20140259433 Nunn et al. Sep 2014 A1
20140259434 Nunn et al. Sep 2014 A1
20140277611 Nunn et al. Sep 2014 A1
20140277778 Nunn et al. Sep 2014 A1
20140277822 Nunn et al. Sep 2014 A1
20140283308 Chen Sep 2014 A1
20140313700 Connell et al. Oct 2014 A1
20150007393 Palashewski et al. Jan 2015 A1
20150008710 Young et al. Jan 2015 A1
20150025327 Young et al. Jan 2015 A1
20150026896 Fleury et al. Jan 2015 A1
20150136146 Hood et al. May 2015 A1
20150157137 Nunn et al. Jun 2015 A1
20150157519 Stusynski et al. Jun 2015 A1
20150173671 Paalasmaa Jun 2015 A1
20150182033 Brosnan et al. Jul 2015 A1
20150182397 Palashewski et al. Jul 2015 A1
20150182399 Palashewski et al. Jul 2015 A1
20150182418 Zaiss Jul 2015 A1
20150290059 Brosnan et al. Oct 2015 A1
20150374137 Mahoney et al. Dec 2015 A1
20160100696 Palashewski et al. Apr 2016 A1
Foreign Referenced Citations (12)
Number Date Country
0853918 Jul 1998 EP
2 649 908 Apr 2012 EP
2004229875 Aug 2004 JP
WO 9113575 Sep 1991 WO
WO 2004006768 Jan 2004 WO
WO 2004082549 Sep 2004 WO
WO 2005024748 Mar 2005 WO
WO 2006135845 Dec 2006 WO
WO 2008128250 Oct 2008 WO
WO 2009108228 Sep 2009 WO
WO 2009123641 Oct 2009 WO
WO 2014143634 Sep 2014 WO
Non-Patent Literature Citations (5)
Entry
U.S. Appl. No. 14/146,281, filed Jan. 2, 2014, Palashewski et al.
International Preliminary Report on Patentability and Written Opinion in International Application No. PCT/US2014/026526, dated Sep. 24, 2015, 6 pages.
International Search Report and Written Opinion in International Application No. PCT/US2014/026526, dated May 15, 2014, 7 pages.
U.S. Appl. No. 60/702,645, filed Jul. 26, 2005, Bhai.
IEEE Standard Dictionary of Electrical and Electronics Terms, 3rd ed., Jay (ed)., Aug. 1984, 71-73, 6 pages.
Related Publications (1)
Number Date Country
20200297126 A1 Sep 2020 US
Provisional Applications (1)
Number Date Country
61781311 Mar 2013 US
Continuations (3)
Number Date Country
Parent 16510265 Jul 2019 US
Child 16841105 US
Parent 15341106 Nov 2016 US
Child 16510265 US
Parent 14209414 Mar 2014 US
Child 15341106 US