Tracking user physical activity with multiple devices

• US 9,148,483 B1
• Filed: 09/04/2014
• Issued: 09/29/2015
• Est. Priority Date: 09/30/2010
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Molettiere, Peter Andrew, Yuen, Shelten Gee Jao, Hong, Jung Ook, Axley, Andrew Cole, Park, James
• Primary Examiner(s): Raymond, Edward
• Application Number:
  US14/477,736
• Publication Number:
  US 20150288772A1
• Time in Patent Office: 390 Days
• Field of Search: 702/127, 702/150, 702/155, 702182-185
• US Class Current: 1/1
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/0486 Drag-and-drop
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/50 Testing arrangements
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Methods, devices, and computer programs are presented for creating a unified data stream from multiple data streams acquired from multiple devices. One method includes an operation for receiving activity data streams from the devices, each activity data stream being associated with physical activity data of a user. Further, the method includes an operation for assembling the unified activity data stream for a period of time. The unified activity data stream includes data segments from the data streams of at least two devices, and the data segments are organized time-wise over the period of time.

Claims

1. A method, comprising,

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time; and

presenting the unified activity data stream in an interactive user interface, wherein the interactive user interface provides a priority-selection option for assigning priorities to the plurality of devices, wherein assembling the unified activity data stream is based on the assigned priorities, wherein operations of the method are executed by a processor.

2. The method as recited in claim 1, further including:

identifying an activity being performed by the user during at least one of the data segments; and

presenting the activity in the interactive user interface.

3. The method as recited in claim 2, wherein identifying the activity being performed by the user is calculated based on one or more of data in a calendar of the user, or a pattern found in the data of one or more devices from the plurality of devices, or information entered by the user regarding the activity.

4. The method as recited in claim 1, wherein the priority-selection option for assigning priorities includes a drag-and-drop interface for sorting the activity data streams.

5. The method as recited in claim 1, wherein the interactive user interface includes one or more of steps taken by the user over a period of time, a distance walked over the period of time, calories burnt over the period of time, or heartbeat information.

6. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time; and

presenting the unified activity data stream in an interactive user interface, wherein the interactive user interface provides a stream-selection option for selecting which activity data stream to present to the user, wherein operations of the method are executed by a processor.

7. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time; and

presenting the unified activity data stream in an interactive user interface, wherein the interactive user interface presents a time when each of the devices was synced, wherein operations of the method are executed by a processor.

8. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time; and

presenting the unified activity data stream in an interactive user interface, wherein the interactive user interface includes social activity data from a second user, wherein operations of the method are executed by a processor.

9. The method as recited in claim 8, further including:

comparing activity data of the user with the social activity data from the second user.

10. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user; and

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time, wherein assembling the unified activity data stream is based on a default prioritization for each device from the plurality of devices based on an accuracy of each device, wherein operations of the method are executed by a processor.

11. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user; and

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time, wherein assembling the unified activity data stream further includes;

selecting first data from a first device for a first period based on a time of day; and

selecting second data from a second device for a second period outside the first period, wherein operations of the method are executed by a processor.

12. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time;

detecting that the user is in a vehicle for a specific time period; and

disabling activity data streams for the specific time period for one or more devices from the plurality of devices, wherein operations of the method are executed by a processor.

13. A server comprising:

a communications module operable to receive a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

a memory for storing the plurality of activity data streams and a unified activity data stream that includes data segments from the data streams of at least two devices of the plurality of devices; and

a processor operable to assemble the unified activity data stream for the user over a period of time, the data segments being organized time-wise over the period of time, wherein an interactive user interface provides options to the user for selecting which devices to include in the unified activity data stream, and for prioritizing the devices for inclusion in the unified activity data stream.

14. A server comprising:

a communications module operable to receive a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

a memory for storing the plurality of activity data streams and a unified activity data stream that includes data segments from the data streams of at least two devices of the plurality of devices; and

a processor operable to assemble the unified activity data stream for the user over a period of time, the data segments being organized time-wise over the period of time, wherein an interactive user interface includes an activity display interface including;

activities detected during a day; and

a graphical representation identifying activity levels throughout the day.

15. A server comprising:

a communications module operable to receive a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

a memory for storing the plurality of activity data streams and a unified activity data stream that includes data segments from the data streams of at least two devices of the plurality of devices; and

a processor operable to assemble the unified activity data stream for the user over a period of time, the data segments being organized time-wise over the period of time, wherein the communications module receives at least one activity data stream from an intermediary device, the intermediary device being in communication with a respective device, wherein the intermediary device is a mobile phone in communication with a fitness activity tracker.

16. A non-transitory computer-readable storage medium storing a computer program, the computer-readable storage medium comprising:

program instructions for a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user; and

program instructions for assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time, wherein assembling the unified activity data stream is based on a voting system to select data for a given time period from a majority of devices from the plurality of devices.

17. The storage medium as recited in claim 16, further including:

program instructions for sending the unified activity data stream to one or more devices from the plurality of devices.

18. A non-transitory computer-readable storage medium storing a computer program, the computer-readable storage medium comprising:

program instructions for a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

program instructions for assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time;

program instructions for detecting that the user is engaged in an activity with another user; and

program instructions for receiving activity data from a device of the another user.

19. A non-transitory computer-readable storage medium storing a computer program, the computer-readable storage medium comprising:

program instructions for a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

program instructions for assembling a unified activity data stream for the user over a period of time, the unified activity data stream including data segments from the data streams of at least two devices of the plurality of devices, the data segments being organized time-wise over the period of time;

program instructions for identifying a current location of the user; and

program instructions for sending a command to a thermostat based on the current location of the user.

20. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

determining a most accurate activity data stream of a first device from the plurality of activity data streams; and

sending calibration information to a second device based on the most accurate activity data stream, wherein the calibration information includes a stride length of the user.

21. The method as recited in claim 20, wherein operations of the method are performed by a computer program when executed by one or more processors, the computer program being embedded in a non-transitory computer-readable storage medium.

22. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

determining a most accurate activity data stream of a first device from the plurality of activity data streams; and

sending calibration information to a second device based on the most accurate activity data stream, wherein determining the most accurate activity data stream further includes;

identifying a predetermined accuracy for each device.

23. A method comprising:

receiving a plurality of activity data streams from a plurality of devices, each activity data stream being associated with physical activity data of a user;

determining a most accurate activity data stream of a first device from the plurality of activity data streams;

sending calibration information to a second device based on the most accurate activity data stream; and

calculating a stride length of the user based on GPS data from a GPS device and a step count from a pedometer.

24. The method as recited in claim 23, wherein sending the calibration information includes sending the stride length to one or more devices.