Wireless portable activity-monitoring device syncing

Abstract
A notification signal, intended to be received by a wireless communication device, is repetitively broadcast by a portable activity-monitoring device that generates user-activity data corresponding to activity of an individual bearing the portable activity-monitoring device. The notification signal conveys information that identifies the portable activity-monitoring device and indicates whether or not the portable activity-monitoring device seeks establishment of a wireless communication link to enable transmission of the user-activity data to the wireless communication device.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS

U.S. patent application Ser. No. 13/156,304 filed Jun. 8, 2011 and entitled “Portable Monitoring Devices and Methods of Operating Same” is related and is hereby incorporated by reference.


BACKGROUND

The use of wired and wireless portable electronic devices continues to grow. Many individuals own and use multiple portable devices, each of which has one or more particular functions, including cell phones, personal digital assistants, navigation devices, and body monitoring or fitness-oriented devices. These devices are often used in addition to non-portable devices such as desktop computers. It is expected that these various devices can communicate with the internet and/or with each other for uploading and downloading data or otherwise transferring data. One example of a portable biometric monitoring device that communicates with the internet and other devices is a monitoring device that is intended to be small and easily worn on or about the body. When monitored data is collected by the device, it is desirable to regularly and frequently transfer the data (sometimes after on-board processing and sometimes before on-board processing) to other computing devices so that the user can easily review the data or possibly operate on it.


Applications or websites accessed from computing devices may allow users to see and interact with their data, providing further motivation to reach their lifestyle goals.





BRIEF DESCRIPTION OF FIGURES

The various embodiments disclosed herein are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:



FIG. 1 shows how a sensor device may sync data to a server using a portable communication device such as a smartphone or laptop as a network tunnel.



FIG. 2 shows how a sensor device may sync data to a server that subsequently distributes the data to other devices such as a laptop to enable the user to view and interact with their data.



FIG. 3 shows an embodiment where a communication device syncs only a specific type or model of sensor device.



FIG. 4 shows an embodiment where a communication device syncs only the sensor device of a specific owner.



FIG. 5 shows an embodiment where a communication device syncs only with sensor devices which have new data.



FIG. 6 shows an embodiment where a communication device syncs only with sensor devices which have not synced for a defined period of time, in this case, greater than 10 minutes ago.



FIG. 7 shows an embodiment where a communication device syncs only with proximal sensor devices.



FIG. 8 shows an embodiment where a communication device syncs only with sensor devices located in a specific region, in this case a user's home.



FIG. 9 shows an embodiment where a communication device syncs only with sensor devices when connected to a specific type of network, in this case Wi-Fi and not cellular.



FIG. 10 shows a generalized embodiment of a computing device that may be used to implement a sensor device, communication device (or other client device), and/or server or other device in which the various operations described herein may be executed.



FIG. 11 shows an embodiment where altitudinal transition and or ambulatory motion signals acquired from sensor circuitry are operated on by processing circuitry to generate biometric data. This data is sent via wireless communication circuitry to a hand held communication device having wireless communication circuitry to receive the biometric data wirelessly.



FIG. 12 shows an embodiment where a portable biometric device wirelessly sends data to a wireless communication device that relays the data to a computing device.



FIG. 13 shows one example of communications between a portable biometric device, handheld communication device and computing device.



FIG. 14 shows an embodiment where a portable biometric monitoring device contains a motion sensor wirelessly sends data to a wireless communication device that relays the data to a computing device.



FIG. 15 shows the steps which occur when the portable biometric monitoring device broadcasts a notification signal to proximal communication devices.



FIG. 16 shows how update thresholds or sync criteria are used to determine whether the portable biometric monitoring device indicates that it would like to seek the establishment of a communication link or not in the portable biometric monitoring device's notification broadcast signal.



FIG. 17 shows fixed frequency notification signal broadcast timing.



FIG. 18 shows variable frequency notification signal broadcast timing.



FIG. 19 shows a mix of variable and fixed frequency notification signal broadcast timing.



FIG. 20 shows a broadcast timing scheme where an update threshold is used to determine the time at which a broadcast occurs.



FIG. 21 shows how a fixed frequency broadcast timing scheme may define a period “n” between notification signal broadcasts.



FIG. 22 shows how the indication of whether or not the portable biometric device seeks the establishment of a communication link with a communication device is determined using an update threshold.





DETAILED DESCRIPTION

Many users of biometric monitoring devices enjoy the ability to view and interact with their data on portable computing devices, but do not like the hassle of managing the storage and transfer of data to these portable devices. For this reason, a seamless syncing experience that requires little or no user interaction is highly desirable. Techniques disclosed herein describe how the device may automatically determine when it should transfer data, freeing the user from the having to remember when they should transfer data. It is also desirable to have a long battery life, secure data transfer, wireless data transfer and high data transfer speeds. The present invention addresses improvements over the prior art on these and other fronts.


More generally, various methods and systems of wirelessly syncing data to and from biometric monitoring devices are disclosed herein including, for example and without limitation, (1) a communication and/or computing device having a wireless transceiver, (2) a biometric and/or environmental sensor device (for example, an activity monitoring device such as any device described and illustrated in U.S. patent application Ser. No. 13/156,304, entitled “Portable Monitoring Devices and Methods of Operating Same”, filed Jun. 8, 2011) having one or more sensors and active and/or passive wireless transceiver circuitry. The sensor device gathers and stores data during its operation and can sync its stored data to the communication device.


In this document, the term “sync” refers to the action of sending and/or receiving data to and/or from a computing device and/or portable communication device as seen in FIG. 1. “Sync” may also be used in reference to sending and/or receiving data to and/or from another computing device or electronic storage devices including but not limited to a personal computer, cloud based server, and database. In some embodiments, a sync from one electronic device to another may occur through the use of one or more intermediary electronic devices acting as a portal. For example, data from a personal biometric device may be transmitted to a smart phone that relays the data to a server. The data may then be viewed on other server-connected devices as shown in FIG. 2.


In the case where the data is relayed from a portable biometric device to a computing device through a communication device, the data may indicate to the communication device that the data should be relayed. For example, the data transmission may contain a code that tells the communication device to relay the data. In another example, the relay indicator may not be an addenda to the message, but rather something inherent to the data itself. For example, if the data has a certain type of encryption, the encryption type may indicate that the communication device should forward the data to a computing device. Note that being unencrypted may be considered an encryption type.


Syncing may occur through wired and/or wireless connections including but not limited to USB, Wi-Fi, WiMAX, Mobile telephony (i.e. cellular networks), Bluetooth, Bluetooth Smart, NFC, RFID, and ANT.


In this document, the term “communication device” refers to an electronic computing device having a wireless transceiver. Communication devices may include but are not limited to cell phones, smart phones, tablet computers, netbooks, laptops, personal data assistants, and desktop computers.


In this document, the term “client” refers to client software or a client device that primarily acts as an access portal to a server. The term “server” refers to a server in communication, directly or indirectly, with one or more of the device and the client. In some embodiments, the server may be eliminated from this system, making the client serve the functions of both the client and server.


Devices which are not considered portable biometric devices, but may use syncing methods according to the invention disclosed herein include but are not limited to portable or non-portable devices such as weight scales, body fat scales, exercise equipment, blood glucose meters, pulse oximeters, blood pressure cuffs, and, in one embodiment mobile phones. A weight scale may be used to describe a device which has a platform capable of supporting the weight of a user. The scale may contain a plurality of sensors including, but not limited to Body Impedance or BIA sensors to measure body fat, weight sensors, ambient light sensors, and photoplethysmographic sensors.


The portable biometric monitoring device (also referred to herein simply as “the device”) has a shape and size that is adapted to be easily worn about the body of a user. The device collects one or more types of physiological and/or environmental data from embedded sensors and/or external devices and communicates or relays such information to other devices or other internet-viewable sources. Notably, the device collects data regarding altitudinal transitions (e.g. climbing stairs) and ambulatory motion (e.g. walking or running). In one example, the user is wearing a device which monitors certain conditions through one or more sensors, and collects data from the sensors. For example, the device can calculate the user's step count from collected data, store the step count, then subsequently transmit user data representative of the step count to an account on a web service (such as www.fitbit.com, for example) where the user data is stored, processed, and viewed by the user. Indeed, the device may monitor, measure or calculate many other physiological metrics in addition to, or in place of, the step count. These include, but are not limited to, energy expenditure, floors climbed or descended, heart rate, heart rate variability, heart rate recovery, location and/or heading (e.g., using global positioning system (GPS) components), elevation, ambulatory speed and/or distance traveled, swimming lap count, bicycle distance and/or speed, blood pressure, blood glucose, skin conduction, skin and/or body temperature, electromyography, electroencephalography, weight, body fat, and respiration rate. The circuitry used to sense and/or calculate these metrics is referred to herein as biometric circuitry. The device may also measure or calculate metrics related to the environment around the user such as barometric pressure, weather conditions, light exposure, noise exposure, and magnetic field.


The device may incorporate one or more user interface and/or feedback methods such as visual methods, auditory methods, or haptic methods (such as touch input or vibration). The device may display the state of one or more of the information types available and/or being tracked. For example, information can be displayed graphically, or conveyed by the intensity and/or color of one or more light emitting diodes (LEDs). The user interface may also be used to display data from other devices or internet sources. The device may also provide haptic feedback to the user through, for instance, the vibration of a motor or a change in texture or shape of the device.


In one embodiment, the device may not have a display. The device may instead communicate information to the user using one of the other user feedback methods described herein (e.g. one or more LED's, haptic feedback, audio feedback). In another embodiment, the device may not communicate information to the user directly. Instead, the user may view their information on one or more secondary computing devices in direct or indirect communication with the device. In the case that the communication is indirect, data may be transferred from the device to one or more intermediate communication devices (e.g. smart phone) which then forwards the information to the secondary computing device used to view data. For example, data may be transferred from the device through a smartphone to a server that hosts a website containing the user's data. The user can then view their data through a compatible web browser on any internet connected computing device.


An embodiment where a portable biometric device wirelessly sends a sync notification signal to prompt a second nearby wireless communication devices to communicate with the device is shown in FIG. 12. Once a communication link has been established, biometric data may be sent with or without an indication that the data should be relayed to a third computing device. If the wireless transmission does not indicate that the data should be relayed, the data is displayed and/or stored on the second wireless communication device. If the wireless transmission indicates that data should be relayed, the wireless communication device communicates over one or more wired or wireless communication networks to relay the data to a third computing device which stores the data in a database. The relayed data may also be stored or displayed on the wireless communication device.


One example of communications between a portable biometric device, handheld communication device and computing device is illustrated in FIG. 13. Initially the portable biometric device may send a notification signal to notify any nearby handheld communication devices of its presence. Once a handheld communication device receives one of these alerts, the handheld communication device may sync data with the portable biometric device. Biometric data which is sent to the communication device without an indication that the data should be relayed is displayed and/or stored on a first database on the communication device. Data with a relay indication is forwarded onto a computing device where the data is stored in a second database. Relayed data may also be displayed and stored on the communication device.


In one embodiment a portable biometric monitoring device contains a motion sensor. Motion sensor data is operated on by processing circuitry to create biometric data. The portable biometric device wirelessly sends a sync notification signal to prompt a second nearby wireless communication devices to communicate with the device. Once a communication link has been established, biometric data may be sent with or without an indication that the data should be relayed to a third computing device. If the wireless transmission does not indicate that the data should be relayed, the data is displayed and/or stored on the second wireless communication device. If the wireless transmission indicates that the data should be relayed, the wireless communication device communicates over one or more wired or wireless communication networks to relay the data to a third computing device which stores the data in a database as shown in FIG. 14. The relayed data may also be stored and/or displayed on the wireless communication device.


An exemplary set of operations executed when the portable biometric monitoring device intermittently (i.e., periodically or aperiodically) broadcasts a notification signal to proximal communication devices is shown in FIG. 15. The portable biometric monitoring device may indicate, in the notification signal or a characteristic of the notification signal, whether the portable biometric monitoring device seeks (or requests) to sync or establish a communication link with the communication device. In the case that the portable biometric monitoring device does not seek to establish a communication link with the communication device, the communication device may still take action to establish a communication link and sync or not (e.g., the communication device may itself have data to be transmitted to the portable biometric monitoring device in a sync operation and thus may seek to establish a communication link even if the portable biometric monitoring device does not). In the case that the portable biometric monitoring device does seek to establish a communication link with the communication device, the communication device can decide to accept or reject the portable biometric monitoring device's request to establish a communication link and/or sync.


Data from the portable biometric device such as those disclosed herein may be used by an application or service located on a portable communication device (e.g. smart phone), computing device (e.g. personal computer), portable computing device (e.g. laptop or tablet computer), and/or accessed through a network such as the internet through a network connected browser or application. Users of portable biometric monitoring devices may have accounts on such applications or services which allow them to retrieve data relevant to themselves or other users. An account may enable a user to visualize their data, modify data visualizations, modify or enter additional or existing data, manage their devices, and/or interact with other users. Data synced from the portable biometric monitoring device may be used for account features including but not limited to a leader board where the user is ranked compared to other users such as friends, rankings of members of a group of users, and badge awards to reaching various goals. The user account may also automatically provide recommendations to the user so as to help them reach one or more goals including but not limited to increasing or decreasing their weight, body fat, time asleep, quality of sleep, calorie burn, activity level, resting heart rate, active heart rate, normal heart rate, steps taken, distance walked and/or run, and floors climbed. These recommendations may aid the user in short term and/or long term goals. For example, if a user has been less active over the last month and has started to gain weight, they may be recommended to be more active this month through a notification on their web based account. On a shorter time scale, a user may be recommended to eat less for dinner if they were not very active and had a large lunch earlier in the day. In order for such short term recommendations to be relevant to the user's current state, data synced from their device which help determine the recommendation is preferably transferred frequently and/or whenever there is new data on the device relevant to such a recommendation.


In one embodiment, this communication device may have foreground and background operating system states. In foreground mode, the function or functions that perform the detection of the sensor device and syncing of data is running in the foreground of the operating system of the communication device. In the background mode, this function or functions are running in the background of the operating system of the communication device. Typically functions which are run in the background have no or minimal visual indications that they are running on the display of the communication device. Often functions which run in the background run when the display of the device is off and/or when the communication device is in a “sleep” or “locked” mode.


Data may be synced to the communication device for the data to be displayed to the user on the communication device. The data may also be stored to a database in the memory of the communication device.


Sensor Device Broadcasts


In order to enable initiation of a data sync operation, a sensor device may continuously or intermittently (i.e., periodically or aperiodically) transmit wireless packets or other information-bearing transmissions referred to herein as notification signals. The frequency of periodic packet transmissions may vary to balance power consumption and the time to detection. These packets may contain information such as the unique identifier of the sensor device, an identifier that indicates the type of sensor device, a unique identifier of the user of the device, and/or data which indicates some internal state of the device. This internal state information may include but is not limited to an indication of (i) whether the device has new data that the device needs to sync, (2) whether the device wants to sync, (iii) the last time that the device has synced, (iv) the battery level of the device, and/or (v) a flag which indicates whether the device has synced within a specified or predetermined time period (e.g., within the last 15 minutes, last hour, etc.). The information in the packets may be separate pieces of data or combined into a single piece of data. For instance, a device identifier represented by a long or short integer may be separate from a sync indicator (itself represented by a bit, or long or short integer) that indicates whether the device has new data that needs to be synced, or the device identifier and sync indicator may be combined within a single short or long integer.


In one embodiment, the sensor device may broadcast a signal with a fixed frequency to any communication devices in the proximity as shown in FIG. 17. In a number of embodiments, for example, the period “a” may be equal to or less than ten seconds. In other embodiments, the period “a” may be greater than ten seconds. This may enable low latency communication link creation while avoiding unnecessary communication between the communication device and the sensor device. Unnecessary communication is undesirable as it consumes power. The communication device may constantly listen for these signals. The signal may indicate to the communication device whether or not the sensor device needs to communicate.


In one embodiment, illustrated in FIG. 18, variable frequency notification signal broadcast timing is used. The period “a,” “b,” “c,” and “d,” may all be different periods of time. In some embodiments, these values may be related algorithmically. In one embodiment, the portable biometric monitoring device may send out a notification signal broadcast at a minimum of every 2 seconds. If the portable biometric monitoring device doesn't get a response from a communication device, it may increase that interval by 1 minute. There may be a maximum interval of 30 minutes for example. If the device does get a response, the interval may revert to the minimum interval of 2 seconds. This strategy could reduce battery drain when there is no communication device to sync to. Algorithms for changing the frequency other than that already described may also be used. In other embodiments, the frequency may change based on syncing criteria, update thresholds or user interactions.


In one embodiment, a mix of variable and fixed frequency notification signal broadcast timings are used. The portable biometric monitoring device may broadcast a signal with a period “a” as seen in FIG. 19. In some cases, a broadcast may occur a time period “b” after the last broadcast. The period “b” may be greater or less than “a.” In some embodiments, an event such as reaching a biometric data update threshold may trigger a change in period. After this event, the next broadcast may occur a period “c” later where “c” is less than, equal to or greater than “a.”


The portable biometric monitoring device may need to sync if it has accumulated a certain amount of biometric data. For example, the portable biometric monitoring device may determine that it needs to sync if it has acquired new biometric data and it has been longer than 15 minutes since the last sync. Other criteria or update thresholds (e.g., corresponding to a threshold change in the biometric data acquired) that may be used to determine when a communication link should be established are disclosed herein. FIG. 20 shows a broadcast timing scheme where an update threshold is used to determine the time at which a broadcast occurs. The period “a,” “b,” and “c” may be wholly or in part determined by the amount of time it takes for an update metric to reach a fixed or time varying threshold.



FIG. 21 illustrates how a fixed frequency broadcast timing scheme may define a period “n” between notification signal broadcasts. This period “n” may be independent of the value of an update metric and whether the value is above, below or equal to an update threshold.


The indication of whether or not the portable biometric device seeks the establishment of a communication link with a communication device may be determined by comparing an update metric to an update threshold as seen in FIG. 22. When the time for a broadcast occurs (either with a fixed or variable frequency), the portable biometric device checks to see if an update metric has met an update threshold. If the threshold has been met, then the notification signal will be broadcasted with an indication that the portable biometric monitoring device seeks to establish a communication link and/or sync. If the update threshold has not been met, the notification signal will indicate that the portable biometric monitoring device does not need to establish a communication link and/or sync. Note that in one embodiment the indication does not necessarily determine whether or not a communication link is established and/or sync will occur. The communication device can use the indication as an aid in determining whether or not to establish a communication link and/or sync.


The signal may also notify the communication device that it is available for communication, but does not need to communicate. This allows the communication device to open a communication link with latency equal to the periodicity broadcasted signal. The communication device may need to open a communication link for reasons including but not limited to a user directed pairing, user directed data sync, update of the device firmware, biometric configuration data update (e.g. stride length, height), device configuration data update (e.g. alarm clock settings, display settings).


In one embodiment, the communication device and the sensor device may communicate using the Bluetooth Smart protocol. The sensor device may intermittently broadcast one of two UUID's (universally unique identifiers) to the communication device which is constantly listening for broadcasts. The first UUID corresponds to a Bluetooth service which is used to sync new data from the sensor device. This service is configured to start any programs on the communication device necessary to sync the new data from the sensor device. The second UUID corresponds to a Bluetooth service which is only used when a program on the communication device needs to send data to the sensor device.


The communication device may monitor its wireless input sources for incoming wireless packets and analyze any received packets in order to detect the sensor device as the source of their transmission and decide whether to sync with the sensor device. The function or functions within the communication device that monitors input sources for and analyzes packets may be embedded within the operating system of the communication device and/or in an application or applications that are launched by the operating system of the communication device (i.e., the input monitoring and/or packet analysis functions may be implemented by execution, within one or more processors of the communications device, of programmed instructions that form part of the communication device operating system and/or application programs). The packet detection functionality may be automatically launched or executed by the operating system or can be initiated or directed by the user or users of the communication device. If the functionality is partially or fully within an application, application or applications may be launched automatically by the operating system or launched by the user or users of the communication device. The packet detection functionality may also be split between the operating system and applications. The functionality can execute or run in any priority or mode (active, foreground, background, etc.) on any processor within the communication device. The functionality can also run simultaneously with other functions on the same communication device. If the functionality has already been launched (i.e., implemented through execution of programmed instructions), the operating system can choose to execute or re-execute the functionality, which might be resident in volatile or non-volatile storage or memory of the communication device.


Listening (monitoring input sources) for incoming packets may be carried out periodically in order to lower power consumption (e.g., by powering down or otherwise disabling signal reception functions during intervals in which input sources are un-monitored), or continuously in order to decrease the time to detection (“detection latency”). Also, the frequency of periodic listening events may be varied to balance power consumption and the time to detection. During a previous interaction, a user or computer, either directly via the user interface of the communication device or via a wired or wireless communication mechanism, may specify which aspects of the contents of a wireless packet or sequence of wireless packets should trigger a data sync by the communication device. Any single piece of information or combination of the information in a wireless packet or sequence of packets may trigger a data sync after receipt and analysis of the packets. When the sync is triggered, the communication device may start and complete the syncing process via functionality that is embedded within the operating system of the communication device or via an application that is launched by the operating system of the communication device. The initiation, start, and/or completion of a sync may be performed with or without user interaction using techniques described herein.


Syncing Criteria


A variety of criteria, when met, may cause the communication device and the sensor device to attempt to sync to each other for example and without limitation:


Device Type Syncing Criteria


Unique Device Syncing Criteria


New Data Syncing Criteria


Goal-Based Data Syncing


Physiological State Syncing Criteria


User Interaction Syncing Criteria


Activity Based Syncing


Timestamp Syncing Criteria


Location Syncing Criteria


Data Connection Type Syncing Criteria


Each of the foregoing “syncing criteria” (or criterion) is discussed in further detail below and may be applied in combination with any other(s) of the syncing criteria to form a new (compound) syncing criteria. While the embodiments below may specify that a single entity including communication device, sensor device, or server may initiate a sync and or determine that a sync should occur, it should be noted that any communication device, sensor device, server, or a combination thereof may initiate a sync and or determine that a sync should occur based on each of the “syncing criteria” (or criterion). Note that the term “update threshold” may refer to one or more syncing criteria.



FIG. 16 shows how update thresholds or sync criteria are used to determine whether the portable biometric monitoring device indicates that it would like to seek the establishment of a communication link or not in the portable biometric monitoring device's notification broadcast signal. In one embodiment, one or more update thresholds (based on the change in biometric data from the value of the biometric data at the last time that the data was synced to the current value of the biometric data) are used to determine whether or not the portable biometric monitoring device seeks the establishment of a communication link. Note that the list of update thresholds is not exhaustive and is meant only to illustrate several possible update thresholds.


Device Type Syncing Criteria


In one embodiment, the communication device might only attempt to sync with a certain type of sensor device. In that case, the communication device will listen for a wireless packet or sequence of wireless packets transmitted by a sensor device and analyze the packets to see they contain an identifier that indicates the type of sensor device. If the identifier is found, a device-type syncing criteria is deemed to be met, and the communication device starts and completes the syncing process in response. Other methods may be used to identify the device type. For example, the type of device may be determined by an NFC tag integrated into the device, an RFID integrated into the device, and/or the wireless protocol that the device communicates with (e.g. device type ‘A’ uses Bluetooth and device type ‘B’ uses Wi-Fi). One embodiment of device type syncing criteria is shown in FIG. 3.


Unique Device Syncing Criteria


In another embodiment, a communication device might only sync if a specific sensor device is detected. In this instance, the communication device will listen for a wireless packet or sequence of wireless packets transmitted by a sensor device and analyze the packets to see if they contain the unique identifier of a specific sensor device and possibly the device type or user identifier of the owner of the sensor device. One such embodiment is illustrated in FIG. 4. The communication device may also only listen for the user identifier of the owner of the sensor device. When proper information is found in a wireless packet or sequence of wireless packets, unique-device syncing criteria is deemed to be met and the communication device starts and completes the syncing process in response. Other methods may be used to identify a unique device. In another embodiment, the type of device may be determined by an NFC tag integrated into the device or an RFID integrated into the device.


New Data Syncing Criteria


In another embodiment, a communication device may be configured to sync only if a specific sensor device has a certain amount of new data to be synced as illustrated in FIG. 5 and FIG. 6. The sensor device might indicate this state, for example, if new data has been collected by the sensor device since the last time it synced with a communication device. In this instance, the communication device will listen for a wireless packet or sequence of packets transmitted by a sensor device and analyze them to see if they contain an indication that the sensor device wants or needs to sync. In some cases, a packet or packets might contain both the unique identifier of a device or device owner and an indication that the sensor device has new data that the sensor device wants to sync. In some other cases, the device might transmit a packet or packets that only contain the identifier of the device or owner and changes the device or owner identifier based on whether the sensor device has new data that the sensor device wants to sync. In either case, when such information is found in a wireless packet or sequence of wireless packets, a new-data syncing criteria is deemed to be met and the communication device starts and completes the syncing process in response.


The sensor device may determine whether it needs to sync or not based on information other than the acquisition of new data including but not limited to the charge state of the device, the operating mode of the device (e.g. battery saving or sleep mode), the state of the motion detector (e.g. whether the motion detector detects motion above a certain level or not), the state of other sensors such as heart rate, GSR, proximity, heat flux and temperature sensors. This other information may serve as a proxy for the acquisition of new data. For example, if the charge state of the sensor device is low, it is likely that the user has been acquiring new data with the device.


Goal-Based Data Syncing


The sensor device may determine whether or not it needs to sync based on goals of the user. The user may set these goals themselves or they may be set automatically. The sensor device could use the type of goal to determine when it should sync. For example, if the user has a goal based on the number of floors that they have climbed, the device may sync only when it detects that the user has climbed one or more floors. The criteria for meeting a goal may also be used by the device to determine when it should sync. For example, if a user's goal is to burn 2,000 calories, the device may try to sync when the user has reached 50%, 75%, and 100% of their goal. This would ensure that the user can see a reasonably precise measure of the progress to their goal on computing devices, portable communication devices, and/or web-based accounts associated with their device.


Physiological State Syncing Criteria


The device may determine whether or not it needs to sync based on the current or historical physiological state of the user. In one embodiment where the device can detect the sleep state of the user, the device may sync when the user wakes up. Alternatively, the device may sync immediately before or after the user wakes up. This would allow the user to see up to date data on their communication device or other server connected device immediately after waking up. In another embodiment, the device may sync if a user transitions from a sedentary to non-sedentary state or vice versa. For example, the device may sync when the user gets to work and when the user leaves work. In another embodiment, the device may sync not at the transition of one state to another, but while the user is in one state. For example, if the user has an elevated heart rate for a period greater than 10 minutes, the device may try to sync. This may enable a user to monitor their data during a run on their smartphone for example.


User Interaction Syncing Criteria


The sensor device may also sync based on when a user interacts with a communication device which displays synced data or data derived from synced data. In one embodiment, the server, communication device, sensor device or some combination of the three may determine, based on historical data when the user views synced data or information derived from synced data on their communication device. In one example, the device may sync to the user's communication device every time the user wakes up their communication device from sleep mode or turns on their communication device. This would allow the user to see the most up to date information when checking their data on the communication device. In another example, if a user always checks their smart phone at lunch time to see how many steps they walked that morning, the communication device may learn this habit and sync data immediately before the user's lunch time so that the most up to date step count is displayed. In another example, the user may always perform the same gesture or movement before checking their sensor device data. The communication may learn what gesture or motion is performed before the user checks their data and tell the device to sync whenever that gesture or motion is performed. In other cases, this gesture or motion sync criteria may be preprogrammed (not learned) to cause the sensor device to sync. For example, the sensor device may sync to a smart phone whenever the user reaches into their pocket to pull out their smartphone.


Activity Based Syncing


The sensor device may determine whether or not it needs to sync based on the activity of the user. In one embodiment, for example, the sensor device includes a motion sensor and may be configured (e.g., through a programmable setting) not to attempt to sync when the motion sensor detects that the user is active. This may allow the sensor device to reduce the power consumption due to failed or unnecessary syncing attempts. For example, if the user goes for a run with their device and they usually sync the device to a laptop, the device does not need to attempt a sync during the run as the user won't be using the laptop during the run. Conversely, the detection of motion may signal the device to sync in some cases. For example, if a user goes for a hike and they want to monitor their progress during the hike on a smart phone, the device may sync whenever the device detects motion which has a signature of hiking. Finally, in some cases a defined period of motion or lack thereof may be used to determine the syncing strategy. For example, the device may attempt to sync if it has detected motion for 15 minutes or longer.


In another embodiment, the user may interact with the device to indicate that the user is engaged in an activity. In some cases, the user may specify, as part of this interaction, the class or type of activity (e.g. walking, hiking, swimming, working out etc.) which is about to begin, in progress, or has recently ended. The sensor device may use these interactions (e.g., in the form of user input provided via any practicable user interface of the sensor device or a device communicatively coupled to the sensor device) to help determine an optimal or otherwise preferred time to sync. For example, the sensor device may sync at the beginning of a run (including prior to the run, for example, when the user provides input indicating an intent to begin a run) so that the client or server can notify friends that the user is running or planning to run to further encourage exercise. The sensor device may refrain from further sync attempts until it detects (or is notified through user interaction) that the user has completed the run.


Device or Owner Identifier Use as a Sync Flag


In a number of embodiments, the sensor device is capable of changing the device identifier and/or owner identifier based on the device's intent to sync, a particularly useful feature in cases where a mobile communication device listens for and initiates sync operations solely based on device or service unique identifiers. Typically, such a mobile communication device might initiate a sync whenever the sensor device came within range or stayed within range, thus potentially syncing more frequently than desirable and consuming undue power. By enabling the sensor device to dynamically change its device, service or owner identifier, however, and to set such identifier(s) to values recognized by the mobile communication device only when new data is available to sync, the mobile communication device would only initiate a sync when necessary, since the mobile communication device would only listen for identifiers that indicated that the sensor device needed to sync. This operation also enables the sensor device sync to co-exist and sync optimally with other communications devices that could base their decisions to sync on using more information contained in a sensor device's wireless packets.


Timestamp Syncing Criteria


In another instance, a communication device might attempt to sync with a sensor device only if a certain period of time has elapsed since the sensor device last synced with a communication device. In this instance, the communication device will listen for a wireless packet or sequence of packets transmitted by a sensor device and analyze them to see if they contain either a timestamp of the last sync time of the sensor device or an indicator of the elapsed time of the last sync (past minute, past 15 minutes, etc.). The communication device may decide based on the timestamp or elapsed time whether it wants to start and complete the syncing process.


Location Syncing Criteria


In another instance, a communication device might determine whether or not to sync a sensor device based on the absolute locations of the communication device and/or sensor device, and/or locations of the communication device and sensor device relative to one another. An illustration of this embodiment is shown in FIG. 7. Location of the communication device and/or sensor device may be determined through a plurality of means including but not limited to signal strength (e.g. RSSI) of a wireless signal such as, NFC, RFID, GPS, Wi-Fi, Zigbee, Ant+, Bluetooth, BTLE (Bluetooth Low Energy), or other radio network communication, optical detection through machine vision, audio signals, optical data transmission, or the spectral signature of a light source on the device. Sensor devices without built in GPS could be assumed to be in the same location as the client (e.g., communications device) syncing them; until heard from again they could be assumed to remain in the same place. In one embodiment, the location criteria for syncing may be the proximity of the sensor device to the communication device. In this case, the criteria is not based on the absolute location of either device, but instead, the relative locations of the communication and sensor devices. In another embodiment, the criteria for syncing may include the absolute position of the sensor device. For example, the communication device may allow any device to sync if they are in the user's home as seen in FIG. 8.


Data Connection Type Syncing Criteria


The connection or set of connections that the communication device is connected to may be used as criteria for syncing and/or the type of syncing. For example, if the communication device is connected to a cellular network, the communication device may not sync any sensor devices so that the user minimizes their cellular network data usage (e.g. to avoid overage charges for example). When the communication device comes into contact with a Wi-Fi network, the communication device may then allow sensor devices to sync. In another embodiment, the type of sync may change depending on the network type that the communication device is connected to. This embodiment is illustrated in FIG. 9.


In another embodiment, the communication device may only sync high level data when it is connected to a cellular network. When connected to a Wi-Fi network the communication device may sync detailed data. In another embodiment, the communication device may sync data to local storage on the communication device when the communication device is not in contact with any networks. When the communication device comes into contact with a network, the communication device may then complete the upload of data to the server. Note that data connections other than Wi-Fi and cellular may be used in connection type syncing criteria including but not limited to other wireless networks such as NFC, RFID, GPS, Wi-Fi, Zigbee, Ant+, Bluetooth, BTLE and wired connections such as LAN and USB.


Multiple Syncing Criteria


More than one criteria for syncing may be met simultaneously or met within a certain time window of each other. Algorithms or programs for determining what action should be taken in such a case may reside on and be executed within the communication device, or a third party device in communication with the communication device such as a server. In one embodiment, each criterion for syncing or not syncing may be given a priority. For example, device identity criteria may have a higher priority than new data criteria so that no sync would occur for a sensor device not meeting the identity criteria, even if that sensor device has met the new data criteria. In practice, this may be useful when a user wants his or her personal sensor device to sync exclusively to the user's communication device (i.e., not to the communication device of another). Even if a sensor device is broadcasting its need to sync because it has new data, the user's communication device will decline to sync if the sensor device is not owned by the owner of the communication device.


In another embodiment, each or any of the above-described syncing criterion (or criteria) may be combined into meta-criteria; criteria which is only met when a set of sub-criteria are met. In one example a communication device might only sync if a sensor device has a specific identity and has new data that the sensor device wants to sync. The sensor device might indicate this state if there is new data collected by the sensor device since the last time it synced with a communication device. In this instance, the communication device will listen for a wireless packet or sequence of packets transmitted by a sensor device and analyze them to see if they contain an indication that the sensor device wants or needs to sync. In some cases, a packet or packets might contain both the unique identifier of a sensor device or identifier of the owner of the device and an indication that the sensor device has new data that it wants to sync. In some other cases, the device might transmit a packet or packets that only contain the identifier of the device or owner and change the device or owner identifier based on whether the sensor device has new data that it wants to sync. When proper information is found in a wireless packet or sequence of wireless packets, the communication device starts and completes the syncing process. Such a technique may be employed to allow a communication device to sync exclusively with the sensor device associated with the owner of the communication device at a time when this sensor device has new data to sync.


Note that meta-criteria and criteria that are met simultaneously or met within a certain time window of each other may have a prioritization structure similar to that discussed for criteria earlier in this disclosure.


Sensor Device Syncing Settings


The communications device may communicate with servers located on private networks or public networks such as the Internet. Through an interface located on a server or a communications device that may communicate with that server, a user may change settings, data or behavior on or of a sensor device, for example by providing instructions to program or otherwise load configuration data or settings into one or more configuration registers of the sensor device. These changes may include but are not limited to parameters for algorithms, time and alarm settings, personal biometric information (weight, height, age, gender, base metabolic rate, etc.), settings for the user interface (which UI screens to show, what information to show on each screen, the order of screens, etc.). Once a change is made, this change may be synced to a sensor device.


User Manipulation of Syncing Settings


The user of the communication device and/or sensor device may be able to change settings which determine how and when syncing occurs. The user may be able to change these settings on the sensor device (i.e., by providing input directly or indirectly that results in programming or loading of configuration values into one or more configuration registers of the sensor device), communication device, server, and or website in communication with one or more of the former. The user may be able to change or create the criterion, criteria, meta-criteria, and prioritize criteria and meta-criteria. In one embodiment, for example, a user may be able to set their phone to be a syncing hotspot or node for only their device or all devices. In another embodiment, the user may be able to combine criteria to create their own, more complex, criteria structure. For example, a user may allow their communication device to sync any device that has a location associated with their house when their communication device is in contact with Wi-Fi. The user may also choose to have their communication device always sync his or her own sensor device regardless of connection type and device location.


Server Initiated Syncing


In some cases, the server may determine when it is necessary for the sensor device to sync. In such a case, the communications device may gather a list of nearby sensor devices by listening for all wireless packets transmitted by nearby sensor devices for a period of time. The communications device may then query a server on private or public network to see if any of the sensor devices on the list have changes that needs to be synced. The server returns indication of which sensor devices have changes that need to be synced. The communication device then may automatically or upon direction by a user initiate syncing of the changes to the sensor devices in sequence or in parallel. Note that any of the criteria or meta-criteria disclosed herein may be aided or completed determined by the server instead of or in addition to the communication device and/or sensor device.


Syncing Security


Transmitted data may be encrypted when the communication device (one example of a client) is used as a tunnel between the sensor device and server. A secret key which enables decryption and encryption is shared between the device and server, but not the client. This prevents the client or an eavesdropping third party from being able to intercept and read the data. The encryption also allows any sensor device to sync to the server through any client without authentication, even if the client is untrusted, without fear of the client being able to read any of the transmitted data.


In some embodiments, it may be desirable for the client to be able to read data directly from the sensor device. For example, a user may have a smartphone application which permits data from the sensor device to be viewed. In order for the application to provide the user with a visualization of the data sent from the sensor device, the application should be able to read the data which is normally encrypted. Transferring data directly to the client instead of through the client to the server can also increase the speed with which data is transferred, allowing more immediate user interaction and visualization of data. Additionally, it may be desirable for the user to be able to sync, view and interact with data from the user's sensor device when the user's client is not connected to the server. For example, a user may want to sync his or her device to the user's smart phone (the communication device in this example) when the smart phone is out of range of any cellular network and not connected to the server.


Before sending data directly from the device to the client, it may first be determined that the client is a trusted entity. In order to trust the client, the server and/or device may perform an authentication of the client. In one embodiment, it may be undesirable to share the secret key (normally shared only with the device and the server) with the client. In order to authenticate the client without sharing the secret key, a secondary key may be generated using the main secret key, hereafter referred to as the derived key. This derived key may be generated by the server and sent to the client. The device may then use challenge-response authentication to determine if the client has a valid derived key. If this authentication is successful, the sensor device may then send unencrypted data to the client. Alternatively, the device and client may negotiate a session key after authentication of the client. Data would then be transferred encrypted between the device and client using the session key for encryption and decryption.


After being authenticated, the client may be given a token which allows the client to communicate directly with the sensor device without being authenticated again. This token may expire after a condition or set of conditions is met including but not limited to a certain number of data transfer sessions, a certain amount of data is transferred, and or after a certain period of time. The use of the token allows the client to transfer data from the sensor device without being connected to the server for authentication. This is useful in cases such as those already described where a user wants to sync a sensor device to a client (e.g. smart phone) which does not have connectivity to a remote server through a cellular network for example.


Although a specific security protocol is described herein, numerous variations of this protocol and/or alternative security protocols may be employed in connection with sensor device syncing. For example, instead of using a derived key, a key which is independent of the main secret key and known by both the server and the sensor device may be used. Additionally nonces may be used in one or more of the steps described in these protocols to help reduce the possibility of replay attacks.


Multiple Channel Syncing


The communication used between the sensor device and communication device, communication device and server, and/or communication device and server (directly) may make use of more than one channel. The use of more than one channel may enable further optimization of security, speed, and latency.


In one embodiment, the sensor device may have one communication channel with the communication device which is used to transfer data at high speed. The communication device may be considered a network sink in this case. A second communication channel may be formed with the communication device to transfer data to a server. This second communication channel uses the communication device as a network tunnel between the sensor device and server. A multichannel communication scheme may afford a variety of advantages such as having communication which may occur at multiple speeds and/or security levels. The communication channel between the sensor device and the communication device may be used to rapidly transfer high level data intended to be immediately displayed to the user. For example, in the case where the sensor device acts as a pedometer, the total number of steps that the user has taken in the day may be transferred through the high-speed channel. The second communication channel may be used to transfer more detailed data such as the log of steps taken each minute during the day to a server. The data may be encoded so that the communication device cannot parse it, adding a level of security to prevent the user or a third party from corrupting or manipulating the data with the communication device.


In another embodiment, a secondary communication channel may use a different wireless communication standard than the first communication channel. This secondary channel may be used to securely store or transmit data. In one embodiment, one channel may be used to transmit authentication data and a second channel using a different wireless standard may be used to transmit sensor data. For example, an NFC or RFID tag may transfer data that uniquely identifies the device. This tag may be write-protected so that the unique identity of the device is incorruptible.


Dynamic Communication Link Configuration


The configuration of the communication between the client and the device may be dynamically changed to optimize for highest data throughput and lowest energy usage. Changes to the low level communication parameters may occur after communication is established and while other communication over the connection is occurring. In one embodiment, it may be desirable for the client to determine how the communication link should be configured, but the client may not be able to configure all aspects of the communication link, namely the low level configurations. For example, in an implementation (or configuration) in which only the sensor device is able to configure certain aspects of the communication link, a special communication interface may be created to allow the client to communicate to the sensor device information needed to configure the communication link. In one embodiment, the type of communication used in dynamic communication link configuration may be Bluetooth or Bluetooth SMART.


Connection Oriented Syncing


In order to simplify the mechanism to accomplish syncing without using significant sensor and communication device power and to form a temporary strong relationship between sensor device and client where no other client may communicate with or interfere with the sensor device, a connection oriented approach may be employed. In one embodiment, the client connects to a sensor device, scales up communication speed, syncs, then remains connected but scales down communication speed so that the sensor device spends less energy than it normally would if it was wirelessly sending out packets at a higher communication speed. The client then listens for an indication on a specific sensor device data characteristic. When this indication is present, a message is sent to the communication device indicating that there is new data to sync. In one embodiment, the message may also inform the client of characteristics of the new data or even include the new data inline (i.e., as part of the message) if the volume of new data is small. If needed, the client scales up the communication link speed and performs a sync of all the data.


Another advantage of temporary client ownership of a sensor device communication link is that stateful transactions become possible. This enables the communication device to serve as not only a display for the sensor device but also an interactive terminal for it. In one embodiment, the user would like to change an alarm on the sensor device. The client could read the current state of alarms on the sensor device, hold the communication link open so that no one else may change the alarms, allow the user to edit the alarms on the client, and then finally write any alarm changes back to the sensor device.


Implementation of Sensor Device, Communication Device and Other Considerations



FIG. 10 illustrates a generalized embodiment of a computing device 500 that may be used to implement a sensor device (client device), communication device, and/or server or other device in which the various operations described above may be executed (e.g., in a distributed manner between the sensor device and communication device). As shown, computing device 500 includes a processing unit 501, memory 503 for storing program code executed by the processing unit to effect the various methods and techniques of the above-described embodiments, and also to configuration data or other information for effecting various programmed or configuration settings in accordance with the embodiments described above. Note that the processing unit itself may be implemented by a general or special purpose processor (or set of processing cores) and thus may execute sequences of programmed instructions to effectuate the various operations associated with sensor device syncing, as well as interaction with a user, system operator or other system components.


Still referring to FIG. 10, computing device 500 further includes one or more input and/or output (I/O) ports 505 for receiving and outputting data (e.g., various wireless communications interfaces in accordance with communications standards described above), and a user interface 507 to present (display) and receive information to a human or artificial operator and thus enable an operator to control server-side and/or client-side inputs in connection with the above-described syncing operations. Though not shown, numerous other functional blocks may be provided within computing device 500 according to other functions it may be required to perform (e.g., one or more biometric sensors, environmental sensors, etc., within a sensor device, as well as one or more wireless telephony operations in a smartphone, and wireless network access in a mobile computing device, including a smartphone, tablet computer, laptop computer, etc.) and the computing device itself may be a component in a larger device, server or network of devices and/or servers. Further, the functional blocks within computing device 500 are depicted as being coupled by a communication path 502 which may include any number of shared or dedicated buses or signaling links. More generally, the functional blocks shown may be interconnected in a variety of different architectures and individually implemented by a variety of different underlying technologies and architectures. With regard to the memory architecture, for example, multiple different classes of storage may be provided within memory 503 to store different classes of data. For example, memory 503 may include non-volatile storage media such as fixed or removable magnetic, optical, or semiconductor-based recording media to store executable code and related data, volatile storage media such as static or dynamic RAM to store more transient information and other variable data.


The various methods and techniques disclosed herein may be implemented through execution of one or more a sequences of instructions (i.e., software program(s)) within processing unit 501, or by a custom-built hardware ASIC (application-specific integrated circuit), or programmed on a programmable hardware device such as an FPGA (field-programmable gate array), or any combination thereof within or external to processing unit 501.


Any of the various methodologies disclosed herein and/or user interfaces for configuring and managing same may be implemented by machine execution of one or more sequences instructions (including related data necessary for proper instruction execution). Such instructions may be recorded on one or more computer-readable media for later retrieval and execution within one or more processors of a special purpose or general purpose computer system or consumer electronic device or appliance, such as the system, device or appliance described in reference to FIG. 10. Computer-readable media in which such instructions and data may be embodied include, but are not limited to, non-volatile storage media in various forms (e.g., optical, magnetic or semiconductor storage media) and carrier waves that may be used to transfer such instructions and data through wireless, optical, or wired signaling media or any combination thereof. Examples of transfers of such instructions and data by carrier waves include, but are not limited to, transfers (uploads, downloads, e-mail, etc.) over the Internet and/or other computer networks via one or more data transfer protocols (e.g., HTTP, FTP, SMTP, etc.).


Various aspects and features of embodiments disclosed herein are set forth in the following numbered claims:

Claims
  • 1. An activity monitoring device comprising: a housing;one or more components disposed in the housing, the one or more components including one or more sensors configured to capture activity monitoring data;a memory device for storing the activity monitoring data;a wireless communications circuit; anda processor coupled to the wireless communications circuit, the memory device, and the one or more components, the processor configured to: access, from the memory device, information identifying a first state of a first component of the one or more components;determine whether the first state identified by the accessed information satisfies a threshold condition for synchronizing the activity monitoring data; andin response to a determination that the first state satisfies a threshold condition for synchronizing the activity monitoring data, initiate synchronizing of the activity monitoring data with a computing device, the synchronizing causing sending of the activity monitoring data from the memory device to the computing device via the wireless communications circuit.
  • 2. The activity monitoring device of claim 1, wherein the first state includes a charge state of the activity monitoring device.
  • 3. The activity monitoring device of claim 2, wherein the first component includes a battery, wherein the charge state of the activity monitoring device includes a level of power stored within the battery, wherein the threshold condition is satisfied based on a change in the level of power.
  • 4. The activity monitoring device of claim 1, wherein the first state includes an operating mode of the activity monitoring device, wherein the operating mode includes a battery saving mode or a sleep mode.
  • 5. The activity monitoring device of claim 1, wherein the first state includes an activity level of the activity monitoring data, wherein the threshold condition is satisfied based on one of (i) the activity level of the activity monitoring data being greater than a pre-determined level and (ii) the activity level of the activity monitoring data being less than a pre-determined level.
  • 6. The activity monitoring device of claim 1, wherein the one or more sensors include a first sensor and a second sensor, the first component including the first sensor, wherein the first state includes a state of the first sensor, wherein the processor is further configured to, in response to a determination that the state of the first sensor satisfies the threshold condition, initiate synchronizing of the activity monitoring data captured by the second sensor with the computing device.
  • 7. The activity monitoring device of claim 1, wherein the one or more sensors include at least one of a motion sensor, an altitude sensor, a heart rate sensor, or a body temperature sensor.
  • 8. The activity monitoring device of claim 1, wherein the first state is indicative of an amount of the activity monitoring data accumulated since a most recent synchronization, wherein the threshold condition is satisfied based on the amount of new data exceeding a threshold amount of the activity monitoring data.
  • 9. An activity monitoring device comprising: a housing;one or more components disposed in the housing, the one or more components including one or more sensors configured to capture activity monitoring data;a memory device for storing the activity monitoring data;a wireless communications circuit; anda processor coupled to the one or more components, the memory device, and the wireless communications circuit, the processor configured to: access the activity monitoring data from the memory device, the activity monitoring data indicative of an amount of activity performed by a user of the activity monitoring device or a value of a physiological metric of the user;determine whether the amount of activity or the value of the physiological metric satisfies a threshold condition for synchronizing the activity monitoring data, the threshold condition comprising a predefined goal for the amount of activity or the value of the physiological metric; andin response to a determination that the amount of activity or the value of the physiological metric satisfies the threshold condition for synchronizing the activity monitoring data, initiate synchronizing of the activity monitoring data with a computing device the synchronizing causing sending of the activity monitoring data from the memory device to the computing device via the wireless communications circuit.
  • 10. The activity monitoring device of claim 9, wherein the predefined goal includes at least one of a number of floors to climb, a number of calories to burn, a number of steps to complete, an amount of weight to loose, an amount of time asleep, or a body fat value.
  • 11. The activity monitoring device of claim 9, wherein the predefined goal is a predefined portion of another predefined goal.
  • 12. The activity monitoring device of claim 9, wherein the one or more sensors include at least one of a motion sensor, an altitude sensor, a heart rate sensor, or a body temperature sensor.
  • 13. The activity monitoring device of claim 9, wherein the predefined goal is specified based on user input to an electronic device via a user interface of the electronic device, the electronic device being configured to communicate with the activity monitoring device or the computing device via a wireless network.
  • 14. An activity monitoring device comprising: a housing;one or more components disposed in the housing, the one or more components including one or more sensors configured to capture activity monitoring data for identifying an activity performed;a memory device for storing the activity monitoring data;a wireless communications circuit; anda processor coupled to the one or more components, the memory device, and the wireless communications circuit, the processor configured to: access the activity monitoring data from the memory device;determine whether a state of a physiological metric generated from the activity monitoring data satisfies a threshold condition for synchronizing the activity monitoring data; andin response to a determination that the state of the physiological metric satisfies the threshold condition for synchronizing the activity monitoring data initiate synchronizing of the activity monitoring data with a computing device, the synchronizing causing sending of the activity monitoring data from the memory device to the computing device via the wireless communications circuit.
  • 15. The activity monitoring device of claim 14, wherein the state of the physiological metric is indicative of a type of the activity performed, wherein the processor is further configured to determine, based on the type of the activity, whether the threshold condition is satisfied.
  • 16. The activity monitoring device of claim 14, wherein the state of the physiological metric is indicative of whether a user of the activity monitoring device is in a sleep state or an awake state, wherein the processor is further configured to determine, based on whether the user is in the sleep state or the awake state, whether the threshold condition is satisfied.
  • 17. The activity monitoring device of claim 14, wherein the state of the physiological metric is indicative of whether a user of the activity monitoring device is in a sedentary state or a non-sedentary state, wherein the processor is further configured to determine, based on whether the user is in the sedentary state or the non-sedentary state, whether the threshold condition is satisfied.
  • 18. The activity monitoring device of claim 14, wherein the state of the physiological metric is indicative of whether a user of the activity monitoring device is arriving at a specific location, wherein the processor is further configured to determine, based on whether the user is arriving at the specific location, whether the threshold condition is satisfied.
  • 19. The activity monitoring device of claim 14, wherein the processor is further configured to initiate synchronizing of the activity monitoring data with the computing device in response to a determination that the state of the physiological metric satisfies the threshold condition for an amount of time greater than a pre-determined amount of time.
  • 20. The activity monitoring device of claim 19, wherein the processor is further configured to determine that the state of the physiological metric satisfies the threshold condition based on at least one of a change in a heart rate, a change in a number of steps taken, or a change in motion.
  • 21. The activity monitoring device of claim 14, wherein the one or more sensors include at least one of a motion sensor, an altitude sensor, a heart rate sensor, or a body temperature sensor.
  • 22. The activity monitoring device of claim 14, wherein the physiological metric includes a number of calories and the activity monitoring data includes a body weight value.
  • 23. The activity monitoring device of claim 14, wherein the activity monitoring device is configured to be worn on a body of a user and the computing device is configured to be carried by the user.
  • 24. The activity monitoring device of claim 14, wherein the processor is further configured to refrain from initiating synchronizing of the activity monitoring data based on the state of the physiological metric indicating an active state.
  • 25. The activity monitoring device of claim 24, wherein the state of the physiological metric indicates the active state when the activity identified based on the activity monitoring data comprises a running activity.
  • 26. The activity monitoring device of claim 14, wherein the processor is further configured to refrain from initiating synchronizing of the activity monitoring data based on the state of the physiological metric indicating a lack-of-motion state, and to initiate synchronizing of the activity monitoring data based on the state of the physiological metric indicating a state of motion.
  • 27. An activity monitoring device comprising: a housing;one or more components disposed in the housing, the one or more components including one or more sensors configured to capture activity monitoring data;a memory device for storing the activity monitoring data;a wireless communications circuit; anda processor coupled to the one or more components, the memory device, and the wireless communications circuit, the processor configured to: access the activity monitoring data from the memory device;determine whether the activity monitoring data is indicative of a predetermined motion for synchronizing the activity monitoring data;in response to a determination that the activity monitoring data is indicative of the predetermined motion for synchronizing the activity monitoring data, initiate synchronizing of the activity monitoring data with a computing device, the synchronizing causing sending of the activity monitoring data from the memory device to the computing device via the wireless communications circuit.
  • 28. The activity monitoring device of claim 27, wherein the predetermined motion comprises a predetermined activity determined to be performed by a user of the activity monitoring device.
  • 29. The activity monitoring device of claim 27, wherein the processor is further configured to refrain from synchronizing the activity monitoring data in response to a determination that the activity monitoring data is not indicative of the predetermined motion.
  • 30. The activity monitoring device of claim 27, wherein the processor is further configured to initiate synchronizing of the activity monitoring data based on whether a timestamp associated with the predetermined motion indicated by the activity, monitoring data.
CLAIM OF PRIORITY

This application is a continuation application of U.S. patent application Ser. No. 14/523,919, filed on Oct. 26, 2014, and entitled “Wireless Portable Activity-Monitoring Device Syncing,” which is a continuation of U.S. patent application Ser. No. 14/263,873 filed Apr. 28, 2014 and entitled “Wireless Portable Activity-Monitoring Device Syncing,” which is a continuation of U.S. patent application Ser. No. 14/047,852 filed Oct. 7, 2013 and entitled “Wireless Portable Activity-Monitoring Device Syncing” (now U.S. Pat. No. 8,745,247), which is a continuation of U.S. patent application Ser. No. 13/769,241 filed Feb. 15, 2013 and entitled “Wireless Portable Biometric Device Syncing” (now U.S. Pat. No. 8,738,925), which claims the benefit of U.S. Provisional Application No. 61/749,911 filed Jan. 7, 2013 and entitled “Systems and Methods for Wireless Portable Biometric Device Syncing.” The foregoing applications are hereby incorporated by reference in their entirety for all purposes.

US Referenced Citations (426)
Number Name Date Kind
2717736 Schlesinger Sep 1955 A
2827309 Fred Mar 1958 A
2883255 Anderson Apr 1959 A
3163856 Kirby Dec 1964 A
3250270 Walter May 1966 A
3522383 Chang Jul 1970 A
3918658 Beller Nov 1975 A
4192000 Lipsey Mar 1980 A
4244020 Ratcliff Jan 1981 A
4281663 Pringle Aug 1981 A
4284849 Anderson et al. Aug 1981 A
4312358 Barney Jan 1982 A
4367752 Jimenez et al. Jan 1983 A
4390922 Pelliccia Jun 1983 A
4407295 Steuer et al. Oct 1983 A
4425921 Fujisaki et al. Jan 1984 A
4575804 Ratcliff Mar 1986 A
4578769 Frederick Mar 1986 A
4617525 Lloyd Oct 1986 A
4887249 Thinesen Dec 1989 A
4930518 Hrushesky Jun 1990 A
4977509 Pitchford et al. Dec 1990 A
5058427 Brandt Oct 1991 A
5224059 Nitta et al. Jun 1993 A
5295085 Hoffacker Mar 1994 A
5314389 Dotan May 1994 A
5323650 Fullen et al. Jun 1994 A
5365930 Takashima et al. Nov 1994 A
5446705 Haas et al. Aug 1995 A
5456648 Edinburg et al. Oct 1995 A
5553296 Forrest et al. Sep 1996 A
5583776 Levi et al. Dec 1996 A
5645509 Brewer et al. Jul 1997 A
5671162 Werbin Sep 1997 A
5704350 Williams, III Jan 1998 A
5724265 Hutchings Mar 1998 A
5817008 Rafert et al. Oct 1998 A
5890128 Diaz et al. Mar 1999 A
5891042 Sham et al. Apr 1999 A
5894454 Kondo Apr 1999 A
5899963 Hutchings May 1999 A
5941828 Archibald et al. Aug 1999 A
5947868 Dugan Sep 1999 A
5955667 Fyfe Sep 1999 A
5976083 Richardson et al. Nov 1999 A
6018705 Gaudet et al. Jan 2000 A
6077193 Buhler et al. Jun 2000 A
6078874 Piety et al. Jun 2000 A
6085248 Sambamurthy et al. Jul 2000 A
6129686 Friedman Oct 2000 A
6145389 Ebeling et al. Nov 2000 A
6183425 Whalen et al. Feb 2001 B1
6213872 Harada et al. Apr 2001 B1
6241684 Amano et al. Jun 2001 B1
6287262 Amano et al. Sep 2001 B1
6301964 Fyfe et al. Oct 2001 B1
6302789 Harada et al. Oct 2001 B2
6305221 Hutchings Oct 2001 B1
6309360 Mault Oct 2001 B1
6469639 Tanenhaus et al. Oct 2002 B2
6478736 Mault Nov 2002 B1
6513381 Fyfe et al. Feb 2003 B2
6513532 Mault et al. Feb 2003 B2
6527711 Stivoric et al. Mar 2003 B1
6529827 Beason et al. Mar 2003 B1
6558335 Thede May 2003 B1
6561951 Cannon et al. May 2003 B2
6571200 Mault May 2003 B1
6585622 Shum et al. Jul 2003 B1
6607493 Song Aug 2003 B2
6620078 Pfeffer Sep 2003 B2
6678629 Tsuji Jan 2004 B2
6699188 Wessel Mar 2004 B2
6761064 Tsuji Jul 2004 B2
6772331 Hind et al. Aug 2004 B1
6790178 Mault et al. Sep 2004 B1
6808473 Hisano et al. Oct 2004 B2
6811516 Dugan Nov 2004 B1
6813582 Levi et al. Nov 2004 B2
6813931 Yadav et al. Nov 2004 B2
6856938 Kurtz Feb 2005 B2
6862575 Anttila et al. Mar 2005 B1
6957339 Shinzaki Oct 2005 B2
7041032 Calvano May 2006 B1
7062225 White Jun 2006 B2
7099237 Lall Aug 2006 B2
7133690 Ranta-Aho et al. Nov 2006 B2
7162368 Levi et al. Jan 2007 B2
7171331 Vock et al. Jan 2007 B2
7200517 Darley et al. Apr 2007 B2
7246033 Kudo Jul 2007 B1
7261690 Teller et al. Aug 2007 B2
7272982 Neuhauser et al. Sep 2007 B2
7285090 Stivoric et al. Oct 2007 B2
7373820 James May 2008 B1
7443292 Jensen et al. Oct 2008 B2
7457724 Vock et al. Nov 2008 B2
7467060 Kulach et al. Dec 2008 B2
7502643 Farringdon et al. Mar 2009 B2
7505865 Ohkubo et al. Mar 2009 B2
7539532 Tran May 2009 B2
7558622 Tran Jul 2009 B2
7559877 Parks et al. Jul 2009 B2
7608050 Shugg Oct 2009 B2
7653508 Kahn et al. Jan 2010 B1
7690556 Kahn et al. Apr 2010 B1
7713173 Shin et al. May 2010 B2
7762952 Lee et al. Jul 2010 B2
7771320 Riley et al. Aug 2010 B2
7774156 Niva et al. Aug 2010 B2
7789802 Lee et al. Sep 2010 B2
7881902 Kahn et al. Feb 2011 B1
7927253 Vincent et al. Apr 2011 B2
7942824 Kayyali et al. May 2011 B1
7953549 Graham May 2011 B2
7983876 Vock et al. Jul 2011 B2
8005922 Boudreau Aug 2011 B2
8028443 Case, Jr. Oct 2011 B2
8055469 Kulach et al. Nov 2011 B2
8099318 Moukas et al. Jan 2012 B2
8132037 Fehr et al. Mar 2012 B2
8172761 Rulkov et al. May 2012 B1
8177260 Tropper et al. May 2012 B2
8180591 Yuen et al. May 2012 B2
8180592 Yuen et al. May 2012 B2
8270297 Akasaka et al. Sep 2012 B2
8270550 Horn Sep 2012 B2
8311769 Yuen et al. Nov 2012 B2
8311770 Yuen et al. Nov 2012 B2
8386008 Yuen et al. Feb 2013 B2
8437980 Yuen et al. May 2013 B2
8462591 Marhaben Jun 2013 B1
8463576 Yuen et al. Jun 2013 B2
8463577 Yuen et al. Jun 2013 B2
8487771 Hsieh et al. Jul 2013 B2
8533269 Brown Sep 2013 B2
8533620 Hoffman et al. Sep 2013 B2
8543185 Yuen et al. Sep 2013 B2
8543351 Yuen et al. Sep 2013 B2
8548770 Yuen et al. Oct 2013 B2
8562489 Burton et al. Oct 2013 B2
8583402 Yuen et al. Nov 2013 B2
8597093 Engelberg et al. Dec 2013 B2
8634796 Johnson Jan 2014 B2
8638228 Amigo et al. Jan 2014 B2
8670953 Yuen et al. Mar 2014 B2
8684900 Tran Apr 2014 B2
8690578 Nusbaum et al. Apr 2014 B1
8738321 Yuen et al. May 2014 B2
8738323 Yuen et al. May 2014 B2
8738925 Park May 2014 B1
8744803 Park et al. Jun 2014 B2
8762101 Yuen et al. Jun 2014 B2
8764651 Tran Jul 2014 B2
8847988 Geisner et al. Sep 2014 B2
8868377 Yuen et al. Oct 2014 B2
8949070 Kahn et al. Feb 2015 B1
8954290 Yuen et al. Feb 2015 B2
8961414 Teller et al. Feb 2015 B2
8968195 Tran Mar 2015 B2
9047648 Lekutai et al. Jun 2015 B1
20010049470 Mault et al. Dec 2001 A1
20010055242 Deshmuhk et al. Dec 2001 A1
20020013717 Ando et al. Jan 2002 A1
20020019585 Dickenson Feb 2002 A1
20020077219 Cohen et al. Jun 2002 A1
20020082144 Pfeffer Jun 2002 A1
20020087264 Hills et al. Jul 2002 A1
20020109600 Mault et al. Aug 2002 A1
20020178060 Sheehan Nov 2002 A1
20020191797 Perlman Dec 2002 A1
20020198776 Nara et al. Dec 2002 A1
20030018523 Rappaport et al. Jan 2003 A1
20030050537 Wessel Mar 2003 A1
20030065561 Brown et al. Apr 2003 A1
20030131059 Brown et al. Jul 2003 A1
20030171189 Kaufman Sep 2003 A1
20030226695 Mault Dec 2003 A1
20040054497 Kurtz Mar 2004 A1
20040061324 Howard Apr 2004 A1
20040117963 Schneider Jun 2004 A1
20040122488 Mazar et al. Jun 2004 A1
20040152957 Stivoric et al. Aug 2004 A1
20040239497 Schwartzman et al. Dec 2004 A1
20040249299 Cobb Dec 2004 A1
20040257557 Block Dec 2004 A1
20050037787 Bachner, III Feb 2005 A1
20050037844 Shum et al. Feb 2005 A1
20050038679 Short Feb 2005 A1
20050054938 Wehman et al. Mar 2005 A1
20050102172 Sirmans, Jr. May 2005 A1
20050107723 Wehman et al. May 2005 A1
20050163056 Ranta-Aho et al. Jul 2005 A1
20050171410 Hjelt et al. Aug 2005 A1
20050186965 Pagonis Aug 2005 A1
20050187481 Hatib Aug 2005 A1
20050195830 Chitrapu et al. Sep 2005 A1
20050216724 Isozaki Sep 2005 A1
20050228244 Banet Oct 2005 A1
20050228692 Hodgdon Oct 2005 A1
20050234742 Hodgdon Oct 2005 A1
20050248718 Howell et al. Nov 2005 A1
20050272564 Pyles et al. Dec 2005 A1
20060004265 Pulkkinen et al. Jan 2006 A1
20060020174 Matsumura Jan 2006 A1
20060020177 Seo et al. Jan 2006 A1
20060025282 Redmann Feb 2006 A1
20060039348 Racz et al. Feb 2006 A1
20060047208 Yoon Mar 2006 A1
20060047447 Brady et al. Mar 2006 A1
20060064276 Ren et al. Mar 2006 A1
20060069619 Walker et al. Mar 2006 A1
20060069809 Serlet Mar 2006 A1
20060089542 Sands Apr 2006 A1
20060111944 Sirmans, Jr. May 2006 A1
20060129436 Short Jun 2006 A1
20060143645 Vock et al. Jun 2006 A1
20060166718 Seshadri et al. Jul 2006 A1
20060217231 Parks et al. Sep 2006 A1
20060247952 Muraca Nov 2006 A1
20060277474 Robarts et al. Dec 2006 A1
20060282021 DeVaul et al. Dec 2006 A1
20060287883 Turgiss et al. Dec 2006 A1
20060288117 Raveendran Dec 2006 A1
20070011028 Sweeney Jan 2007 A1
20070049384 King et al. Mar 2007 A1
20070050715 Behar Mar 2007 A1
20070051369 Choi et al. Mar 2007 A1
20070061593 Celikkan et al. Mar 2007 A1
20070071643 Hall et al. Mar 2007 A1
20070072156 Kaufman et al. Mar 2007 A1
20070083095 Rippo et al. Apr 2007 A1
20070083602 Heggenhougen et al. Apr 2007 A1
20070123391 Shin et al. May 2007 A1
20070135264 Rosenberg Jun 2007 A1
20070136093 Rankin et al. Jun 2007 A1
20070146116 Kimbrell Jun 2007 A1
20070155277 Amitai et al. Jul 2007 A1
20070159926 Prstojevich et al. Jul 2007 A1
20070179356 Wessel Aug 2007 A1
20070194066 Ishihara et al. Aug 2007 A1
20070197920 Adams Aug 2007 A1
20070208544 Kulach et al. Sep 2007 A1
20070276271 Chan Nov 2007 A1
20070288265 Quinian et al. Dec 2007 A1
20080001735 Tran Jan 2008 A1
20080014947 Carnall Jan 2008 A1
20080022089 Leedom Jan 2008 A1
20080032864 Hakki Feb 2008 A1
20080044014 Corndorf Feb 2008 A1
20080054072 Katragadda Mar 2008 A1
20080084823 Akasaka et al. Apr 2008 A1
20080093838 Tropper et al. Apr 2008 A1
20080097550 Dicks et al. Apr 2008 A1
20080114829 Button et al. May 2008 A1
20080125288 Case May 2008 A1
20080129457 Ritter et al. Jun 2008 A1
20080134102 Movold et al. Jun 2008 A1
20080140163 Keacher et al. Jun 2008 A1
20080140338 No et al. Jun 2008 A1
20080146892 LeBoeuf et al. Jun 2008 A1
20080155077 James Jun 2008 A1
20080176655 James et al. Jul 2008 A1
20080275309 Stivoric et al. Nov 2008 A1
20080287751 Stivoric et al. Nov 2008 A1
20090018797 Kasama et al. Jan 2009 A1
20090043531 Kahn et al. Feb 2009 A1
20090047645 Dibenedetto et al. Feb 2009 A1
20090048044 Oleson et al. Feb 2009 A1
20090054737 Magar et al. Feb 2009 A1
20090054751 Babashan Feb 2009 A1
20090058635 LaLonde et al. Mar 2009 A1
20090063193 Barton et al. Mar 2009 A1
20090063293 Mirrashidi et al. Mar 2009 A1
20090093341 James Apr 2009 A1
20090098821 Shinya Apr 2009 A1
20090144456 Gelf Jun 2009 A1
20090144639 Nims et al. Jun 2009 A1
20090150178 Sutton et al. Jun 2009 A1
20090156172 Chan Jun 2009 A1
20090171788 Tropper et al. Jul 2009 A1
20090195350 Tsern et al. Aug 2009 A1
20090262088 Moll-Carrillo et al. Oct 2009 A1
20090264713 Van Loenen et al. Oct 2009 A1
20090271147 Sugai Oct 2009 A1
20090287921 Zhu et al. Nov 2009 A1
20090307517 Fehr et al. Dec 2009 A1
20090309742 Alexander et al. Dec 2009 A1
20100023348 Hardee Jan 2010 A1
20100058064 Kirovski et al. Mar 2010 A1
20100059561 Ellis et al. Mar 2010 A1
20100069203 Kawaguchi et al. Mar 2010 A1
20100125729 Baentsch et al. May 2010 A1
20100130873 Yuen et al. May 2010 A1
20100158494 King Jun 2010 A1
20100159709 Kotani et al. Jun 2010 A1
20100167783 Alameh et al. Jul 2010 A1
20100179411 Holmstrom Jul 2010 A1
20100185064 Bandic et al. Jul 2010 A1
20100205541 Rapaport et al. Aug 2010 A1
20100217099 LeBoeuf et al. Aug 2010 A1
20100222179 Temple Sep 2010 A1
20100261987 Kamath et al. Oct 2010 A1
20100292050 DiBenedetto Nov 2010 A1
20100292600 DiBenedetto Nov 2010 A1
20100295684 Hsieh Nov 2010 A1
20100298661 McCombie et al. Nov 2010 A1
20100304674 Kim et al. Dec 2010 A1
20100311544 Robinette Dec 2010 A1
20100331145 Lakovic et al. Dec 2010 A1
20110003665 Burton et al. Jan 2011 A1
20110009051 Khedouri et al. Jan 2011 A1
20110021143 Kapur et al. Jan 2011 A1
20110022349 Stirling et al. Jan 2011 A1
20110080349 Holbein et al. Apr 2011 A1
20110087076 Brynelsen et al. Apr 2011 A1
20110106449 Chowdhary et al. May 2011 A1
20110131005 Ueshima et al. Jun 2011 A1
20110145894 Garcia Morchon et al. Jun 2011 A1
20110153773 Vandwalle Jun 2011 A1
20110167262 Ross et al. Jul 2011 A1
20110193704 Harper et al. Aug 2011 A1
20110197157 Hoffman et al. Aug 2011 A1
20110214030 Greenberg et al. Sep 2011 A1
20110221590 Baker et al. Sep 2011 A1
20110224508 Moon Sep 2011 A1
20110230729 Shirasaki et al. Sep 2011 A1
20110258689 Cohen et al. Oct 2011 A1
20120035487 Werner Feb 2012 A1
20120072165 Jallon Mar 2012 A1
20120083705 Yuen et al. Apr 2012 A1
20120083714 Yuen et al. Apr 2012 A1
20120083715 Yuen et al. Apr 2012 A1
20120083716 Yuen et al. Apr 2012 A1
20120084053 Yuen et al. Apr 2012 A1
20120084054 Yuen et al. Apr 2012 A1
20120092157 Tran Apr 2012 A1
20120094649 Porrati et al. Apr 2012 A1
20120102008 Kääriäinen et al. Apr 2012 A1
20120116684 Ingrassia, Jr. et al. May 2012 A1
20120119911 Jeon et al. May 2012 A1
20120165684 Sholder Jun 2012 A1
20120166257 Shiragami et al. Jun 2012 A1
20120179278 Riley et al. Jul 2012 A1
20120183939 Aragones et al. Jul 2012 A1
20120215328 Schmelzer Aug 2012 A1
20120226471 Yuen et al. Sep 2012 A1
20120226472 Yuen et al. Sep 2012 A1
20120227737 Mastrototaro et al. Sep 2012 A1
20120265480 Oshima Oct 2012 A1
20120274508 Brown Nov 2012 A1
20120283855 Hoffman et al. Nov 2012 A1
20120290109 Engelberg et al. Nov 2012 A1
20120296400 Bierman et al. Nov 2012 A1
20120297229 Desai Nov 2012 A1
20120316456 Rahman et al. Dec 2012 A1
20120324226 Bichsel et al. Dec 2012 A1
20120330109 Tran Dec 2012 A1
20130006718 Nielsen et al. Jan 2013 A1
20130041590 Burich et al. Feb 2013 A1
20130072169 Ross et al. Mar 2013 A1
20130073254 Yuen et al. Mar 2013 A1
20130073255 Yuen et al. Mar 2013 A1
20130080113 Yuen et al. Mar 2013 A1
20130094600 Beziat et al. Apr 2013 A1
20130095459 Tran Apr 2013 A1
20130096843 Yuen et al. Apr 2013 A1
20130102251 Linde et al. Apr 2013 A1
20130103847 Brown et al. Apr 2013 A1
20130106684 Weast May 2013 A1
20130132501 Vandwalle May 2013 A1
20130151196 Yuen et al. Jun 2013 A1
20130158369 Yuen et al. Jun 2013 A1
20130166048 Werner Jun 2013 A1
20130190008 Vathsangam et al. Jul 2013 A1
20130190903 Balakrishnan et al. Jul 2013 A1
20130191034 Weast et al. Jul 2013 A1
20130203475 Kil Aug 2013 A1
20130209972 Carter Aug 2013 A1
20130225117 Giacoletto Aug 2013 A1
20130228063 Turner Sep 2013 A1
20130231574 Tran Sep 2013 A1
20130238287 Hoffman et al. Sep 2013 A1
20130261475 Mochizuki Oct 2013 A1
20130267249 Rosenberg Oct 2013 A1
20130268199 Nielsen Oct 2013 A1
20130268236 Yuen et al. Oct 2013 A1
20130268687 Schrecker Oct 2013 A1
20130268767 Schrecker Oct 2013 A1
20130274904 Coza et al. Oct 2013 A1
20130281110 Zelinka Oct 2013 A1
20130289366 Chua et al. Oct 2013 A1
20130296666 Kumar et al. Nov 2013 A1
20130296672 O'Neil et al. Nov 2013 A1
20130296673 Thaveeprungsriporn et al. Nov 2013 A1
20130310896 Mass Nov 2013 A1
20130325396 Yuen et al. Dec 2013 A1
20130331058 Harvey Dec 2013 A1
20130337974 Yanev et al. Dec 2013 A1
20130345978 Lush et al. Dec 2013 A1
20140035761 Burton et al. Feb 2014 A1
20140039804 Park et al. Feb 2014 A1
20140039840 Yuen et al. Feb 2014 A1
20140039841 Yuen et al. Feb 2014 A1
20140052280 Yuen et al. Feb 2014 A1
20140067278 Yuen et al. Mar 2014 A1
20140077673 Garg et al. Mar 2014 A1
20140085077 Luna Mar 2014 A1
20140085136 Alpert Mar 2014 A1
20140094941 Ellis et al. Apr 2014 A1
20140125618 Panther et al. May 2014 A1
20140164611 Molettiere et al. Jun 2014 A1
20140180022 Stivoric et al. Jun 2014 A1
20140200691 Lee et al. Jul 2014 A1
20140207264 Quy Jul 2014 A1
20140213858 Presura et al. Jul 2014 A1
20140275885 Isaacson et al. Sep 2014 A1
20140278229 Hong et al. Sep 2014 A1
20140316305 Venkatraman et al. Oct 2014 A1
20140337451 Choudhary et al. Nov 2014 A1
20140337621 Nakhimov Nov 2014 A1
20150026647 Park et al. Jan 2015 A1
20150374267 Laughlin Dec 2015 A1
20160063888 McCallum et al. Mar 2016 A1
20160089572 Liu et al. Mar 2016 A1
20160107646 Kolisetty et al. Apr 2016 A1
Foreign Referenced Citations (16)
Number Date Country
102111434 Jun 2011 CN
102377815 Mar 2012 CN
103226647 Jul 2013 CN
11347021 Dec 1999 JP
2178588 Jan 2002 RU
WO 0211019 Feb 2002 WO
WO 2006055125 May 2006 WO
WO 2006090197 Aug 2006 WO
WO 2008038141 Apr 2008 WO
WO 2009042965 Apr 2009 WO
WO 2012061438 May 2012 WO
WO 2012170586 Dec 2012 WO
WO 2012170924 Dec 2012 WO
WO 2012171032 Dec 2012 WO
WO 2015127067 Aug 2015 WO
WO 2016003269 Jan 2016 WO
Non-Patent Literature Citations (23)
Entry
Chandrasekar et al., “Plug-and-Play, Single-Chip Photoplethysmography”, 34th Annual International Conference of the IEEE EMBS, San Diego, California USA, Aug. 28-Sep. 1, 2012, 4 pages.
Clifford et al., “Altimeter and Barometer System”, Freescale Semiconductor Application Note AN1979, Rev. 3, Nov. 2006, 10 pages.
Fang et al, “Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote Experience”, IEEE Transactions on Instrumentation and Measurement, vol. 54, No. 6, Dec. 2005, pp. 2342-2358.
Fitbit Inc., “Fitbit Automatically Tracks Your Fitness and Sleep” published online at web.archive.org/web/20080910224820/http://www.fitbit.com, copyright Sep. 10, 2008, 1 page.
Godfrey et al., “Direct Measurement of Human Movement by Accelerometry”, Medical Engineering & Physics, vol. 30, 2008, pp. 1364-1386 (22 pages).
Godha et al., “Foot Mounted Inertia System for Pedestrian Naviation”, Measurement Science and Technology, vol. 19, No. 7, May 2008, pp. 1-9 (10 pages).
Intersema, “Using MS5534 for altimeters and barometers”, Application Note AN501, Jan. 2006, 12pages.
Ladetto et al, “On Foot Navigation: When GPS alone is not Enough”, Journal of Navigation, vol. 53, No. 2, Sep. 2000, pp. 279-285 (6 pages).
Lammel et al., “Indoor Navigation with MEMS Sensors”, Proceedings of the Eurosensors XIII conference, vol. 1, No. 1, Sep. 2009, pp. 532-535 (4 pages).
Lester et al, “Validated caloric expenditure estimation using a single body-worn sensor”, Proc. of the Int'l Conf. on Ubiquitous Computing, 2009, pp. 225-234 (10 pages).
Lester et al., “A Hybrid Discriminative/Generative Approach for Modeling Human Activities”, Proc. of the Int'l Joint Conf. Artificial Intelligence, 2005, pp. 766-772 (7 pages).
Ohtaki et al, “Automatic classification of ambulatory movements and evaluation of energy consumptions utilizing accelerometers and barometer”, Microsystem Technologies, vol. 11, No. 8-10, Aug. 2005, pp. 1034-1040 (7 pages).
Parkka, et al, Activity Classification Using Realistic Data From Wearable Sensors, IEEE Transactions on Information Technology in Biomedicine, vol. 10, No. 1, Jan. 2006, pp. 119-128 (10pages).
PCT/IB07/03617 International Search Report issued on Aug. 15, 2008, 3 pages.
Perrin et al, “Improvement of Walking Speed Prediction by Accelerometry and Altimetry, Validated by Satellite Positioning”, Medical & Biological Engineering & Computing, vol. 38, 2000, pp. 164-168 (5 pages).
Retscher, “An Intelligent Multi-Sensor system for Pedestrian Navigation”, Journal of Global Positioning Systems, vol. 5, No. 1, 2006, pp. 110-118 (9 pages).
Sagawa et al, “Classification of Human Moving Patterns Using Air Pressure and Acceleration”, Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society, vol. 2, Aug.-Sep. 1998, pp. 1214-1219 (6 pages).
Sagawa et al, “Non-restricted measurement of walking distance”, IEEE Int'l Conf. on Systems, Man, and Cybernetics, vol. 3, Oct. 2000, pp. 1847-1852 (6 pages).
Specification of the Bluetooth® System, Core Package, version 4.1, Dec. 2013, vols. 0 & 1, 282 pages.
Stirling et al., “Evaluation of a New Method of Heading Estimation of Pedestrian Dead Reckoning Using Shoe Mounted Sensors”, Journal of Navigation, vol. 58, 2005, pp. 31-45 (15 pages).
Suunto Lumi, “User Guide”, Copyright Jun. and Sep. 2007, 49 pages.
Tanigawa et al, “Drift-Free Dynamic Height Sensor Using MEMS IMU Aided by MEMS Pressure Sensor”, Workshop on Positioning, Navigation and Communication, Mar. 2008, pp. 191-196 (6 pages).
VTI Technologies, “SCP 1000-D01/D11 Pressure Sensor as Barometer and Altimeter”, Application Note 33, Jun. 2006, 3 pages.
Related Publications (1)
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20160227484 A1 Aug 2016 US
Provisional Applications (1)
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61749911 Jan 2013 US
Continuations (4)
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Parent 14523919 Oct 2014 US
Child 15069845 US
Parent 14263873 Apr 2014 US
Child 14523919 US
Parent 14047852 Oct 2013 US
Child 14263873 US
Parent 13769241 Feb 2013 US
Child 14047852 US