Activity Identification

• US 20130132028A1
• Filed: 01/17/2013
• Published: 05/23/2013
• Est. Priority Date: 11/01/2010
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Crankson, Kwamina, Schmitt, Michael, Weast, Aaron B.
• Granted Patent: US 9,383,220 B2
• Time in Patent Office: Days
• US Class Current: 702/160
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G09B 19/0038 Sports
• 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: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10

Abstract

Systems and method for calculating energy expenditure values and activity points are provided. One or more devices may use an accelerometer and/or other sensors to monitor activity of a user. The user may identify the activity via one of the devices, a mobile phone, a computer device or another device. Activity points or energy expenditure values may be calculated from data received from sensors and the identification provided by the user.

Claims

1. A method comprising:

capturing activity of a user with at least one sensor;

classifying the captured activity;

providing an interface that allows a user to reclassify the activity.

determining an activity factor corresponding to the classified activity; and

at a processor calculating an energy expenditure point value by multiplying the activity factor by a duration of the activity.

2. The method of claim 1, further comprising generating a template based on the captured activity of the user with the at least one sensor.

5. The method of claim 1, wherein the activity factor comprises one of running, walking, or bicycling.

6. The method of claim 1, wherein the interface is provided on a mobile device that does not include the at least one sensor.

7. The method of claim 1, wherein the interface is provided on a computer device that does not include the at least one sensor.

8. The method of claim 1, wherein the interface is provided on a wrist worn device.

3. The method of clam 1, wherein the sensor comprises an accelerometer.

4. The method of claim 3, wherein the determined activity factor is based on the reclassified activity.

9. A method comprising:

capturing activity of a user with at least one multiple axis accelerometer;

classifying the captured activity;

providing an interface that allows the user to reclassify the activity;

determining an activity factor corresponding to the classified activity; and

at a processor calculating an energy expenditure point value by multiplying the activity factor by a duration of the activity.

10. The method of claim 9, further comprising generating a template based on the captured activity of the user with the at least one sensor.

11. The method of claim 9, wherein the activity factor comprises one of running, walking, or bicycling.

12. The method of claim 9, wherein the interface is provided on a mobile device that does not include the multiple axis accelerometer.

13. The method of claim 9, wherein the interface is provided on a computer device that does not include the multiple axis accelerometer.

14. The method of claim 9, wherein the interface is provided on a wrist worn device.

15. An apparatus comprising:

a processor; and

memory communicatively coupled to the processor and storing instructions that when executed, cause the apparatus to;

classify a captured activity;

providing an interface that allows a user to reclassify the activity

determine an activity factor corresponding to the classified activity; and

calculated an energy expenditure point value by multiplying the activity factor by a duration of the activity.

16. The apparatus of claim 15, wherein the activity is captured with a sensor.

17. The apparatus of claim 15, wherein the sensor comprises an accelerometer.

18. The apparatus of claim 17, wherein the accelerometer comprises a multiple axis accelerometer.

19. The apparatus of claim 15, wherein the interface comprises an input button and an array of lights.

20. The apparatus of claim 15, further comprising a wireless transceiver.