Methods and systems for processing social interactive data and sharing of tracked activity associated with locations

• US 9,421,422 B2
• Filed: 12/14/2015
• Issued: 08/23/2016
• Est. Priority Date: 09/30/2010
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Yuen, Shelten Gee Jao, Park, James, Lee, Hans Christiansen
• Primary Examiner(s): Raymond, Edward
• Application Number:
  US14/967,987
• Publication Number:
  US 20160107032A1
• Time in Patent Office: 253 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/045 with a separable interface unit, e.g. for communication
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7264 : Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7278 : Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/744 : Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: A63B 2024/0068 : Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 2220/14 : Geo-tagging, e.g. for correlating route or track location data with specific information related to that specific location
• CPC Class Codes: A63B 2220/72 : Temperature
• CPC Class Codes: A63B 2220/73 : Altitude
• CPC Class Codes: A63B 2230/06 : heartbeat rate only
• CPC Class Codes: A63B 2230/50 : temperature
• CPC Class Codes: A63B 2230/70 : body fat
• CPC Class Codes: A63B 2230/75 : calorie expenditure
• CPC Class Codes: A63B 24/0062 : Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: A63B 24/0075 : Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: A63B 71/0686 : Timers, rhythm indicators or pacing apparatus using electric or electronic means
• CPC Class Codes: G01C 21/20 : Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G01C 22/006 : Pedometers
• CPC Class Codes: G01C 23/00 : Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration
• CPC Class Codes: G01P 13/00 : Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: G06F 15/00 : Digital computers in general details G06F1/00 – G06F13/00; Data processing equipment in general
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04L 67/535 : Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/02 : Services making use of location information
• CPC Class Codes: H04W 4/023 : using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

A method includes determining a location of a first monitoring device used while performing an activity. The first monitoring device is worn by a first user. The method includes determining a location of a second monitoring device used while performing an activity. The second monitoring device is worn by a second user. The method further includes determining whether the locations of the first and second monitoring devices are within a range and whether the activities are similar. The method includes sending a prompt to the first monitoring device upon determining that the activities are similar and the locations are within the range. The prompt includes a request for permission from a first user account to allow a second user account to access information from the first user account regarding the activity performed using the first monitoring device.

Claims

1. A method comprising:

receiving by a network interface controller via a computer network geo-location data regarding a monitoring device, the monitoring device configured to be used by a user for measuring activity data while performing one or more activities, the geo-location data including a longitude and a latitude and measured using a global positioning system;

identifying by a processor coupled to the network interface controller a current location corresponding to the geo-location data;

receiving by the network interface controller via the computer network the activity data of the monitoring device;

aggregating by the processor the activity data over a period of time to generate aggregated activity data;

determining by the processor that the aggregated activity data is less than a pre-determined threshold;

generating by the processor a web-based recommendation for the user to perform one or more activities at a different location from the current location in response to determining that the aggregated activity data is less than the pre-determined threshold; and

sending by the network interface controller the web-based recommendation via the computer network to the monitoring device for display of the web-based recommendation on the monitoring device.

2. The method of claim 1, wherein the recommended one or more activities are different from the one or more activities for which the activity data is measured.

3. The method of claim 1, wherein the recommended one or more activities are the same as the one or more activities for which the activity data is measured.

4. The method of claim 1, wherein the period of time is a portion of a day, or a day, or a portion of a week, or a week, or a portion of a month, or a month.

5. The method of claim 1, wherein both the current and different locations have a facility for performing the recommended one or more activities.

6. The method of claim 1, wherein the different location has a facility for performing the recommended one or more activities, and the current location does not have a facility for performing the recommended one or more activities.

7. The method of claim 1, further comprising:

determining from a maps service that the different location is within a pre-determined distance from the current location,

wherein generating the recommendation is performed upon determining that the different location is within the pre-determined distance from the current location.

8. A monitoring device comprising:

a device locator configured to measure geo-location data associated with a user while the user is performing one or more activities, the geo-location data including a longitude and a latitude;

one or more sensors configured to measure activity data while the user is performing the one or more activities;

a network interface controller configured to provide the activity data and the geo-location data via a computer network to a server, the activity data provided via the network to the server over a period of time to generate aggregated activity data, the server configured to determine a current location of the monitoring device based on the geo-location data;

the network interface controller configured to receive via the computer network from the server a recommendation for the user to perform one or more activities at a different location from the current location, the recommendation generated in response to determining that the aggregated activity data is less than a pre-determined threshold; and

a display device configured to display the recommendation.

9. The monitoring device of claim 8, wherein the recommended one or more activities are different from the one or more activities for which the activity data is measured.

10. The monitoring device of claim 8, wherein the recommended one or more activities are the same as the one or more activities for which the activity data is measured.

11. The monitoring device of claim 8, wherein the period of time is a portion of a day, or a day, or a portion of a week, or a week, or a portion of a month, or a month.

12. The monitoring device of claim 8, wherein both the current and different locations have a facility for performing the recommended one or more activities.

13. The monitoring device of claim 8, wherein the different location has a facility for performing the recommended one or more activities, and the current location does not have a facility for performing the recommended one or more activities.

14. The monitoring device of claim 8,

wherein the different location is within a pre-determined distance from the current location,

wherein the recommendation is generated based on a determination that the different location is within the pre-determined distance from the current location.

15. A system comprising:

a monitoring device configured to be used by a user, the monitoring device including;

a position sensor for measuring activity data over a period of time while one or more activities are performed by the user;

a device locator configured to determine geo-location data regarding the monitoring device, the geo-location data including a longitude and a latitude;

a network interface controller configured to send the activity data and the geo-location data via a computer network; and

a display device coupled to the network interface controller; and

a server coupled to the monitoring device via the computer network, the server including;

a second network interface controller configured to receive via the computer network the geo-location data and the activity data; and

a processor coupled to the second network interface controller, the processor configured to identify a current location corresponding to the geo-location data;

the processor configured to aggregate the activity data measured over the period of time to generate aggregated activity data;

the processor configured to determine that the aggregated activity data is less than a pre-determined threshold;

the processor configured to generate a web-based recommendation for the user to perform one or more activities at a different location from the current location in response to determining that the aggregated activity data is less than the pre-determined threshold,

the second network interface controller configured to send the web-based recommendation via the computer network to the monitoring device for display of the web-based recommendation on the display device of the monitoring device.

16. The system of claim 15, wherein the one or more activities for which the activity data is measured correspond to a sedentary activity, a walking activity, a running activity, or a swimming activity.

17. The system of claim 15, wherein the recommended one or more activities correspond to a walking activity, a running activity, or a swimming activity.

18. The system of claim 15, wherein the current location corresponds to a home of the user, a workplace of the user, a park, or a gym.

19. The system of claim 15, wherein the different location corresponds to a home of the user, a workplace of the user, a park, or gym.

20. The system of claim 15, wherein the second network interface controller is further configured to send the web-based recommendation via the computer network to a smartphone associated with the user for display of the web-based recommendation on a display unit of the smartphone.