Activity tracking system with multiple monitoring devices

• US 10,758,779 B2
• Filed: 02/14/2018
• Issued: 09/01/2020
• Est. Priority Date: 02/14/2018
• Status: Active Grant

• Current Assignee: Under Armour Incorporated
• Original Assignee: Under Armour Incorporated
• Inventors: Winterbottom, Atherton Brant, Quast, William, Roberts, Corey, Stoll, Conrad, Dale, Joshua, Whittlesey, Skyler, Glen, Allan, Peters, Christopher
• Primary Examiner(s): Kim, Kevin Y
• Application Number:
  US15/896,873
• Publication Number:
  US 20190247717A1
• Time in Patent Office: 930 Days
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2071/0661 arranged on the user
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/62 Time or time measurement used for time reference, time stamp, master time or clock signal
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 24/0003 Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• CPC Class Codes: A63B 24/0021 Tracking a path or terminating locations
• 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 24/0084 Exercising apparatus with means for competitions, e.g. virtual races
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G09B 19/0038 Sports

Abstract

A method for providing activity data to a user for a workout session includes receipt of first activity data from a first activity sensor and receipt of second activity data from a second activity sensor during the workout session. A first parameter is generated for a workout attribute based on the first activity data received during a first time interval of the workout session, and a second parameter is generated for the workout attribute based on the second activity data received during a second time interval of the workout session. An aggregate parameter for the workout attribute is generated based on both the first parameter and the second parameter. The first activity data and the second activity data generated during the workout session are transmitted to a remote server where a third parameter for the workout attribute is generated.

Claims

1. An activity tracking system for providing activity data associated with a user during a workout session, the workout session defined by a start time and an end time, the activity tracking system comprising:

a first activity sensor configured to be carried by the user and generate first activity data during a first time period and a second time period of the workout session, the first activity data associated with a specific workout attribute of the workout session;

a second activity sensor configured to be carried by the user and generate second activity data during the first time period and the second time period of the workout session, the second activity data also associated with the workout attribute of the workout session, the second activity sensor being a different type of sensor than the first activity sensor;

a controller configured to receive both the first activity data from the first activity sensor and the second activity data from the second activity sensor during the workout session, the controller configured to determine that the first activity data includes reliable first activity data generated during the first time period of the workout session and unreliable first activity data generated during the second time period of the workout session, generate a first parameter for the workout attribute based on the reliable first activity data generated during the first time period of the workout session, generate a second parameter for the workout attribute based on the second activity data generated during the second time period of the workout session, and generate an aggregate parameter for the workout attribute based on both the first parameter and the second parameter;

a display device carried by the user, the display device including a display screen configured to display the aggregate parameter for the workout attribute during the workout session; and

a remote server, the remote server configured to receive the first activity data and the second activity data generated during the workout session, the remote server further configured to generate a third parameter for the workout attribute after the workout session based on at least one of the first activity data and the second activity data;

wherein the display device is configured to receive the third parameter from the remote server and display the third parameter on the display screen after the workout session.

2. The activity tracking system of claim 1 wherein the third parameter is a revised aggregate parameter for the workout attribute and is further based on crowd-sourced data for the workout attribute.

3. The activity tracking system of claim 1 wherein the workout attribute is a primary workout attribute and wherein the third parameter is for a secondary workout attribute.

4. The activity tracking system of claim 1 wherein the first parameter for the workout attribute is associated with the first activity sensor, and wherein the second parameter for the workout attribute is associated with the second activity sensor.

5. The activity tracking system of claim 4 wherein the first parameter for the workout attribute is one of a plurality of first parameters associated with different time intervals during the workout session, wherein the second parameter for the workout attribute is one of a plurality of second parameters associated with different time intervals during the workout session, and wherein the controller is configured to generate the aggregate parameter for the workout attribute based on selected ones of the plurality of first parameters and the plurality of second parameters, wherein the selected ones of the plurality of first parameters and the plurality of second parameters are each associated with different time intervals during the workout session, and wherein the selected ones includes less than all of the plurality of first parameters and the plurality of second parameters.

6. The activity tracking system of claim 5 wherein the selected ones of the plurality of first parameters and the plurality of second parameters are based at least in part on (i) a preferred data source and (ii) a determined data integrity of the first data activity data and the second activity data for a particular time interval during the workout session.

7. The activity tracking system of claim 1 wherein the workout attribute of the workout session is a distance traversed during the workout session, wherein the first activity sensor is a GPS receiver, and wherein the second activity sensor is an accelerometer.

8. The activity tracking system of claim 7 wherein the GPS receiver, the controller and the display device are included on a personal electronics device configured to be carried by the user.

9. The activity tracking system of claim 1 wherein the workout attribute of the workout session is an average heart rate, wherein the first activity sensor is a heart rate chest band, and wherein the second activity sensor is a heart rate wrist band.

10. A method for providing activity data to a user for a workout session, the workout session defined by a start time and an end time, the method comprising:

generating first activity data during a first time interval and a second time interval of the workout session using a first activity sensor carried by the user, the first activity data associated with a workout attribute of the workout session;

generating second activity data during the second time interval of the workout session using a second activity sensor carried by the user, the second activity data also associated with the workout attribute, the second activity sensor being a different type of sensor than the first activity sensor;

receiving at a processor the first activity data from the first activity sensor and the second activity data from the second activity sensor during the workout session;

determining that the first activity data includes reliable first activity data generated during the first time interval of the workout session and unreliable first activity data generated during the second time interval of the workout session,

generating, at the processor, a first parameter for the workout attribute based on the reliable first activity data generated during the first time interval of the workout session;

generating at the processor a second parameter for the workout attribute based on the second activity data generated during the second time interval of the workout session;

generating, at the processor, an aggregate parameter for the workout attribute based on both the first parameter and the second parameter;

displaying, on a display device, the aggregate parameter for the workout attribute during the workout session;

transmitting the reliable first activity data and the second activity data generated during the workout session to a remote server;

generating, after the workout session at the remote server, a third parameter based on at least one of the first activity data and the second activity data;

transmitting the third parameter to the display device; and

displaying, on the display device, the third parameter after the workout session.

11. The method of claim 10 wherein the third parameter is a reprocessed aggregate parameter for the workout attribute.

12. The method of claim 10 wherein the workout attribute is a primary workout attribute and wherein the third parameter is for a secondary workout attribute.

13. The method claim 10 wherein the first parameter for the workout attribute is associated with the first activity sensor, and wherein the second parameter for the workout attribute is associated with the second activity sensor.

14. The method of claim 13 wherein the first parameter for the workout attribute is one of a plurality of first parameters associated with different time intervals during the workout session, wherein the second parameter for the workout attribute is one of a plurality of second parameters associated with different time intervals during the workout session, and wherein the aggregate parameter for the workout attribute is based on selected ones of the plurality of first parameters and the plurality of second parameters, wherein the selected ones of the plurality of first parameters and the plurality of second parameters are each associated with different time intervals during the workout session.

15. The method of claim 14 wherein the selected ones of the plurality of first parameters and the plurality of second parameters are based at least in part on (i) a preferred data source and (ii) a determined data integrity of the first data activity data and the second activity data for a particular time interval during the workout session.

16. The method of claim 10 wherein the workout attribute of the workout session is a speed of travel during the workout session, wherein the aggregate parameter is an average speed of travel during the workout session, wherein first activity sensor is a GPS receiver, and wherein the second activity sensor is an accelerometer.

17. The method of claim 10 wherein the workout attribute of the workout session is a distance traversed during the workout session, wherein the aggregate parameter is a total distance traversed during the workout session, wherein the first activity sensor is a GPS receiver, and wherein the second activity sensor is an accelerometer.

18. A method for automatically processing and reprocessing user activity data for a workout session performed by a user, the workout session defined by a start time and an end time, the method comprising:

obtaining a set of rules that define workout parameters for a specific workout attribute as a function of events generated by a first activity sensor and a second activity sensor carried by the user;

receiving a sequence of events from the first activity sensor and the second activity sensor during the workout session;

generating a sequence of intermediate events based on the received sequence of events by evaluating the received sequence of events against the set of rules;

generating a stream of first workout parameters and a stream of second workout parameters based on the generated sequence of intermediate events by evaluating the generated sequence of intermediate events against the set of rules, each of the first workout parameters associated with the first activity sensor and each of the second workout parameters associated with the second activity sensor;

determining that the stream of first workout parameters includes reliable first workout parameters generated during a first time period of the workout session and unreliable first workout parameters generated during a second time period of the workout session;

generating a final stream of workout parameters by selecting final workout parameters from both the reliable first workout parameters and the second workout parameters;

generating an aggregate workout parameter for the workout session by evaluating the final stream of workout parameters against the set of rules; and

displaying the aggregate workout parameter on a display device carried by the user during the workout session.

19. The method of claim 18 wherein the set of rules that define the workout parameters are defined by a plurality of interconnected processing engines, wherein each processing engine is configured to receive an event and output an event.

20. The method of claim 19 wherein generating the stream of first workout parameters and generating the stream of second workout parameters includes loading a queue with instructions for sending events to respective ones of the plurality of interconnected processing engines according to the set of rules.