Patent Application
20170010666
Not Applicable
A portion of the material in this patent document is subject to copyright protection under the copyright laws of the United States and of other countries. The owner of the copyright rights has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the United States Patent and Trademark Office publicly available file or records, but otherwise reserves all copyright rights whatsoever. The copyright owner does not hereby waive any of its rights to have this patent document maintained in secrecy, including without limitation its rights pursuant to 37 C.F.R. §1.14.
1. Field of the Technology
This technology pertains generally to smart wearable devices and more particularly to smart devices capable of acquiring sensor data from multiple sources.
2. Discussion
Multiple sensors, associated with smart wearable devices, with capabilities to collect data by acquiring biological or physical data of a user of a wearable device (heart rate, blood oxygen and sugar levels, body temperature, etc.), capabilities for determining physical or mental status of the user, the location of the user, and capabilities for collecting data on the environment (location, altitude, air pollution, distance traveled, external temperature, etc.), are often concentrated in the same location or engaged in the same activity. However, these sensors may be located on different users or different locations of the same wearer. Therefore, it is desirable for a smart wearable device to have the capability to acquire needed data from different devices.
This disclosure describes embodiments of smart wearable devices and methods for acquiring sensorial data from surrounding smart wearable devices and non-wearable devices. This data may be used to fill in the gaps when a wearable smart device collects incomplete or inaccurate data from sensors configured to, for example, collect biological data about the user or environmental and contextual data about an activity the user is engaged in.
In an example embodiment, a single smart wearable device user from a group of users or the smart wearable device itself may require additional information to improve accuracy of the data collected by its sensors or may require additional information to augment data collected about an experience or the contextual environment or to adjust the behavior of the smart wearable device based on the information collected by the surrounding sensors.
An exemplary embodiment of the method provides the capability to discover missing sensor information collected by a group of smart wearable device sensors engaged in the same activity in order to recreate an environment or experience based on defined criteria, where each smart wearable device sensor has its own contribution to make to the total data set. Additionally, a signal may be triggered in response to collected sensor data to activate a function on other wearable or non-wearable devices or change the logic for data collection.
Further aspects of the technology will be brought out in the following portions of the specification, wherein the detailed description is for the purpose of fully disclosing preferred embodiments of the technology without placing limitations thereon.
The technology described herein will be more fully understood by reference to the following drawings which are for illustrative purposes only:
One or more smart wearable devices 104-1 through 104-n also may be enabled to communicate with one or more non-wearable devices 106-1 through 106-n by means of wired or wireless connections. The non-wearable devices may be any conventional “smart” device with a processor, associated operating system, and communications interface. Examples of non-wearable devices include smartphones, tablet computers, laptop computers, desktop computers, and set top boxes.
One or more servers 108-1 through 108-n may be provided in a client-server configuration and connected to the network by means of wired or wireless connections. The servers may include standalone servers, cluster servers, networked servers, or servers connected in an array to function like a large computer.
A conventional wired or wireless communications module 208 (e.g., transmitter or receiver or transceiver) may be included as needed for performing one or more of the functions of the smart wearable device described herein. Examples of wireless communication capabilities that can be provided include, but are not limited to, Bluetooth, WiFi, infrared, cellular, and near field communication. One or more conventional interfaces or controllers 210 may also be provided if needed. Examples of interfaces or controllers include, but are not limited to, analog to digital converters, digital to analog converters, buffers, etc.
The device may include at least one input 212 for a biological or physiological sensor for providing input to the device to perform one or more of the functions described herein. Sensor inputs 214-1 through 214-n for optional sensors may be included as well. These optional input sensors may include, but are not limited to, accelerometers, temperature sensors, altitude sensors, motion sensors, position sensors, and other sensors to perform the function(s) described herein. One or more conventional interfaces or controllers 216 may be provided if needed for the sensors. Examples of interfaces or controllers include, but are not limited to, analog to digital converters, digital to analog converters, buffers, etc.
Additionally, the device may include one or more outputs 218-1 through 218-n to drive one or more output devices (and include those output devices). These output devices may include, but are not limited to, haptic output devices, telemetry devices, visual devices, and audible devices. One or more conventional interfaces or controllers 220 may be provided if needed for the output devices. Examples of interfaces or controllers include, but are not limited to, analog to digital converters, digital to analog converters, buffers, etc.
A user input 222 may be provided according to the functions described herein. The user input may, for example, initiate one or more functions, terminate one or more functions, or intervene in a running process. The user input can be any conventional input device, including but not limited to, manual switches, touch sensors, magnetic sensors, proximity sensors, etc. One or more conventional interfaces or controllers 224 may be provided if needed for the output devices. Examples of interfaces or controllers include, but are not limited to, analog to digital converters, digital to analog converters, buffers, etc.
Depending on the function(s) described herein, the engine 200 may also include a feedback loop 226 for machine learning or other functions.
It will be appreciated that a smart wearable device as described herein would necessarily include a housing or carrier for the above-described components. It will further be appreciated that, as used herein, the term “smart wearable device” means a device that would be worn or otherwise associated with the body of a user and be “connected” to the user by means of at least one sensor for sensing one or more biological or physiological conditions of the user.
The particular form of the housing or carrier (i.e., wearable platform) can vary according to choice and suitability for performing the functions described herein. Examples of wearable platforms include, but are not limited to, wrist worn devices, head worn devices, arm worn devices, leg worn devices, ankle worn devices, foot worn devices, watches, eyeglasses, rings, bracelets, necklaces, articles of jewelry, articles of clothing, shoes, hats, contact lenses, etc.
It will further be appreciated that the input sensors and output devices may be integrated into the wearable platform, or may be external to the wearable platform, as is desired and/or suitable for the function(s) of the smart wearable device.
The disclosed devices and methods may facilitate the acquisition of accurate, missing or functional data from smart devices within proximity to a smart wearable device. Referring now to
The smart wearable device 104-1 may also use the sensor data retrieved by the surrounding smart devices to make a decision to change the behavior of the smart wearable device 104-1 or enable an additional function on the smart wearable device 104-1 that may be useful in performing an activity. Conversely, the smart wearable device may also use the sensor data retrieved by the surrounding smart devices to make a decision to send a signal to one or more of the surrounding devices 304, 306 or to trigger activation or deactivation of a function. Examples of this include taking a picture, enabling higher sampling rates of data collection, etc.
Referring now to
Acquired data may be processed by the sensor requesting the data and used to improve the accuracy of the sensor data collected or used to make a decision to change the behavior of the smart wearable device, or to enable additional functions on the smart wearable device engaged in an activity 430. Implementation of an embodiment of the method may allow the smart wearable device to send a request to the surrounding devices to trigger a function (e.g. taking a picture, enabling higher sampling rate of data collection, etc.) 440.
In one embodiment, a user may be wearing two devices. The two devices, for example, may be a smart wearable device with an accelerometer watch and another smart wearable device with a heart rate monitor (HRM) and a GPS. The accelerometer watch may broadcast to the HRM in order to receive metadata associated with sensory input captured by HRM. The accelerometer watch can then check the metadata and identify GPS sensor data as relevant or not relevant to its own data that's been captured. This may be carried out by organizing the metadata into a data structure having several fields. One field can list a unique identifier and another field associated with this unique identifier can describe a property (e.g. a rotational position, a linear distance, etc.) or perhaps measurement units (e.g. degrees, feet, etc.). The processor may check the sensory metadata associated with its sensors and look for matching fields of property (or measurement units, etc.). Matches can then be flagged as “relevant sensor data.”
The processor of the accelerometer watch can correct its position data acquired from the accelerometer by comparing it to the GPS position data from the HRM. The two position data sets may be averaged with the final position data set displayed to the user or communicated from the accelerometer watch to another device via an application or other software. Alternatively, if the GPS position data is incomplete (some position data is missing due to line of sight blockage with a satellite providing GPS data, or the GPS receiver is turned off to save power, either intentionally or by power saving mode of the HRM), then missing data from the accelerometer watch can be substituted. In addition, when the accelerometer watch is acquiring sensor data from another device, in this case the HRM with the GPS, the accelerometer watch can make a further determination of which of the relevant sensor data is optimal for its purposes: (i) use only GPS because it's more accurate; (ii) use only the accelerometer to save battery power because power remaining in watch is below a predetermined threshold; (iii) use both; (iv) use neither. The choices, (i) through (iv), can be performed automatically or in response to user direction.
In another embodiment using this example of the watch accelerometer and the HRM/GPS, the two devices may capture similar biological sensor data, such as the wearer's pulse, but from different body locations (the watch from the user's wrist; the HRM from chest strap). The watch can compare the pulse data from its sensors to the sensor data acquired from the HRM. Based on the wearer's settings and internal analysis, the watch records pulse data from the chest unless such data is missing, in which case the wrist pulse data is substituted to provide a complete data set of the wearer's pulse. The wearer's settings can establish the wearer's preference to use chest pulse data as the wearer believes such data (compared to wrist collected pulse data) is more accurate for aerobic exercise.
Embodiments of the present technology may be described with reference to flowchart illustrations of methods and systems according to embodiments of the technology, and/or algorithms, formulae, or other computational depictions, which may also be implemented as computer program products. In this regard, each block or step of a flowchart, and combinations of blocks (and/or steps) in a flowchart, algorithm, formula, or computational depiction can be implemented by various means, such as hardware, firmware, and/or software including one or more computer program instructions embodied in computer-readable program code logic. As will be appreciated, any such computer program instructions may be loaded onto a computer, including without limitation a general purpose computer or special purpose computer, or other programmable processing apparatus to produce a machine, such that the computer program instructions which execute on the computer or other programmable processing apparatus create means for implementing the functions specified in the block(s) of the flowchart(s).
Accordingly, blocks of the flowcharts, algorithms, formulae, or computational depictions support combinations of means for performing the specified functions, combinations of steps for performing the specified functions, and computer program instructions, such as embodied in computer-readable program code logic means, for performing the specified functions. It will also be understood that each block of the flowchart illustrations, algorithms, formulae, or computational depictions and combinations thereof described herein, can be implemented by special purpose hardware-based computer systems which perform the specified functions or steps, or combinations of special purpose hardware and computer-readable program code logic means.
Furthermore, these computer program instructions, such as embodied in computer-readable program code logic, may also be stored in a computer-readable memory that can direct a computer or other programmable processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the block(s) of the flowchart(s). The computer program instructions may also be loaded onto a computer or other programmable processing apparatus to cause a series of operational steps to be performed on the computer or other programmable processing apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable processing apparatus provide steps for implementing the functions specified in the block(s) of the flowchart(s), algorithm(s), formula(e), or computational depiction(s).
It will further be appreciated that “programming” as used herein refers to one or more instructions that can be executed by a processor to perform a function as described herein. The programming can be embodied in software, in firmware, or in a combination of software and firmware. The programming can be stored local to the device in non-transitory media, or can be stored remotely such as on a server, or all or a portion of the programming can be stored locally and remotely. Programming stored remotely can be downloaded (pushed) to the device by user initiation, or automatically based on one or more factors, such as, for example, location, a timing event, detection of an object, detection of a facial expression, detection of location, detection of a change in location, or other factors. It will further be appreciated that as used herein, that the terms processor, central processing unit (CPU), and computer are used synonymously to denote a device capable of executing the programming and communication with input/output interfaces and/or peripheral devices.
From the discussion above it will be appreciated that the technology can be embodied in various ways, including but not limited to the following:
1. A smart wearable device, the device comprising: (a) a housing, wherein the housing encases components of a smart wearable device; (b) one or more sensors, wherein at least one sensor is configured to acquire biological data; (c) one or more communications interfaces; (d) a processor; and (e) programming residing in a non-transitory computer readable medium, wherein the programming is executable by the computer processor and configured to: (i) broadcast a request to surrounding smart devices to determine availability of accessible surrounding smart devices engaged in acquiring sensor data which is relevant to the sensor data the smart wearable device is also acquiring, wherein relevancy is based on defined criteria and wherein the smart wearable device comprises one or more biological sensors configured to acquire biological data about a user; and (ii) acquire the relevant sensor data from accessible surrounding smart devices, wherein the relevant sensor data is used to stitch sensor data that is incomplete or to correct incorrect sensor data on the smart wearable device.
2. The device of any preceding embodiment, further comprising one or more environmental sensors, wherein the one or more environmental sensors are configured to acquire contextual sensor data.
3. The device of any preceding embodiment, wherein said programming is further configured to: send a signal to one or more of the surrounding smart devices to trigger activation or deactivation of a function or change the logic for acquisition of sensor data by the additional smart wearable devices.
4. The device of any preceding embodiment, wherein the smart wearable device has a platform selected from the group consisting of hand worn devices, finger worn devices, wrist worn devices, head worn devices, arm worn devices, leg worn devices, ankle worn devices, foot worn devices, toe worn devices, watches, eyeglasses, rings, bracelets, necklaces, articles of jewelry, articles of clothing, shoes, hats, contact lenses, and gloves.
5. The device of any preceding embodiment, wherein the one or more communications interfaces are selected from the group consisting of a wired communications interface, a wireless communications interface, a cellular communications interface, a WiFi communications interface, a near field communications interface, an infrared communications interface, and a Bluetooth communications interface.
6. A computer implemented method for acquiring sensorial data from surrounding smart devices, the method comprising: (a) providing a smart wearable device, wherein the smart wearable device comprises: (i) a housing, wherein the housing encases components of a smart wearable device; (ii) one or more sensors, wherein at least one sensor is configured to acquire biological data; (iii) one or more communications interfaces; and (iv) a processor; (b) broadcasting a request from the smart wearable device to surrounding smart devices to determine availability of accessible surrounding smart devices engaged in acquiring sensor data which is relevant to the sensor data the smart wearable device is also acquiring, wherein relevancy is based on defined criteria; and (c) acquiring the relevant sensor data from accessible surrounding smart devices, wherein the relevant sensor data is used to stitch sensor data that is incomplete or to correct incorrect sensor data on the smart wearable device; (d) wherein said method is performed by executing programming on at least one computer processor, said programming residing on a non-transitory medium readable by the computer processor.
7. The method of any preceding embodiment, wherein the smart wearable device further comprises one or more environmental sensors, wherein the one or more environmental sensors are configured to acquire contextual sensor data.
8. The method of any preceding embodiment, further comprising: sending a signal to one or more of the surrounding smart devices to trigger activation or deactivation of a function or change the logic for acquisition of sensor data by the additional smart wearable devices.
9. The method of any preceding embodiment, wherein the smart wearable device has a platform selected from the group consisting of hand worn devices, finger worn devices, wrist worn devices, head worn devices, arm worn devices, leg worn devices, ankle worn devices, foot worn devices, toe worn devices, watches, eyeglasses, rings, bracelets, necklaces, articles of jewelry, articles of clothing, shoes, hats, contact lenses, and gloves.
10. The method of any preceding embodiment, wherein the one or more communications interfaces are selected from the group consisting of a wired communications interface, a wireless communications interface, a cellular communications interface, a WiFi communications interface, a near field communications interface, an infrared communications interface, and a Bluetooth communications interface.
11. A system for acquiring sensorial data from surrounding smart devices, the system comprising: (a) one or more surrounding smart devices, the one or more smart device comprising: (i) a housing, wherein the housing encases components of a smart wearable device; (ii) one or more sensors, wherein at least one sensor is configured to acquire biological data; (iii) one or more communications interfaces; (iv) a processor; and (v) programming residing in a non-transitory computer readable medium, wherein the programming is executable by the computer processor and configured to: receive a request for sensor data from a smart wearable device; and transmit the requested sensor data to the smart wearable device; and (b) a wearable smart device comprising: (i) a housing, wherein the housing encases components of a smart wearable device; (ii) one or more sensors, wherein at least one sensor is configured to acquire biological data; (iii) one or more communications interfaces; (iv) a processor; and (v) programming residing in a non-transitory computer readable medium, wherein the programming is executable by the computer processor and configured to: broadcast a request to surrounding smart devices to determine availability of accessible surrounding smart devices engaged in acquiring sensor data which is relevant to the sensor data the smart wearable device is also acquiring, wherein relevancy is based on defined criteria and wherein the smart wearable device comprises one or more biological sensors configured to acquire biological data about a user; and acquire the relevant sensor data from accessible surrounding smart devices, wherein the relevant sensor data is used to stitch sensor data that is incomplete or to correct incorrect sensor data on the smart wearable device.
12. The system of any preceding embodiment, wherein the surrounding smart devices and the smart wearable device further comprise one or more environmental sensors, wherein the one or more environmental sensors are configured to acquire contextual sensor data.
13. The system of any preceding embodiment, wherein said programming on the wearable smart device is further configured to: send a signal to one or more of the surrounding smart devices to trigger activation or deactivation of a function or change the logic for acquisition of sensor data by the additional smart wearable devices.
14. The system of any preceding embodiment, wherein the smart wearable device has a platform selected from the group consisting of hand worn devices, finger worn devices, wrist worn devices, head worn devices, arm worn devices, leg worn devices, ankle worn devices, foot worn devices, toe worn devices, watches, eyeglasses, rings, bracelets, necklaces, articles of jewelry, articles of clothing, shoes, hats, contact lenses, and gloves.
15. The system of any preceding embodiment, wherein the one or more communications interfaces on the smart wearable device are selected from the group consisting of a wired communications interface, a wireless communications interface, a cellular communications interface, a WiFi communications interface, a near field communications interface, an infrared communications interface, and a Bluetooth communications interface.
Although the description above contains many details, these should not be construed as limiting the scope of the technology but as merely providing illustrations of some of the presently preferred embodiments of this technology. Therefore, it will be appreciated that the scope of the present technology fully encompasses other embodiments which may become obvious to those skilled in the art, and that the scope of the present technology is accordingly to be limited by nothing other than the appended claims, in which reference to an element in the singular is not intended to mean “one and only one” unless explicitly so stated, but rather “one or more.” All structural, chemical, and functional equivalents to the elements of the above-described preferred embodiment that are known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the present claims. Moreover, it is not necessary for a device or method to address each and every problem sought to be solved by the present technology, for it to be encompassed by the present claims. Furthermore, no element, component, or method step in the present disclosure is intended to be dedicated to the public regardless of whether the element, component, or method step is explicitly recited in the claims. No claim element herein is to be construed under the provisions of 35 U.S.C. 112 unless the element is expressly recited using the phrase “means for” or “step for”.
This application is a 35 U.S.C. §111(a) continuation of PCT international application number PCT/US2015/016606 filed on Feb. 19, 2015, incorporated herein by reference in its entirety, which claims priority to, and the benefit of, U.S. provisional patent application Ser. No. 61/943,837 filed on Feb. 24, 2014, incorporated herein by reference in its entirety. Priority is claimed to each of the foregoing applications. The above-referenced PCT international application was published as PCT International Publication No. WO 2015/127070 A1 on Aug. 27, 2015, which publication is incorporated herein by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 61943837 | Feb 2014 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | PCT/US2015/016606 | Feb 2015 | US |
| Child | 15229405 | US |
