Selecting And Correlating Physical Activity Data With Image Data

Patent metadata

Field	Value
Publication number	US-2017014684-A1
Application number	US-201615197014-A
Country	US
Kind code	A1
Filing date	Jun 29, 2016
Priority date	Feb 17, 2011
Publication date	Jan 19, 2017
Grant date	—

Abstract

Example embodiments may relate systems, methods, apparatuses, and computer readable media configured to correlate image data of a user performing physical activity with data collected during the user's performance. Data may include sensor data measuring, force, acceleration, speed, and/or processed sensor data from one or more sensors. Certain embodiments may determine whether the user is within a performance zone based on user attributes. Correlation of the image data with physical activity data may be based, at least in part, whether the user is within a performance zone.

First claim

1 . (canceled)

2 . A computer-implemented method comprising:
receiving a first set of physical activity data corresponding to an athletic performance comprising at least a first activity performed by a user, wherein the first set of physical activity data is generated by or derived from a first sensor; capturing, by an image capturing device, image data corresponding to at least the first activity performed by the user; determining, by a processor, that a portion of the physical activity is indicative of the user satisfying a first activity threshold; and transmitting the portion of the physical activity data and the image data to a computing device.

3 . The computer-implemented method of claim 2 , further comprising:
correlating the image data in accordance with the portion of the first set of physical activity data.

4 . The computer-implemented method of claim 3 , wherein the image data comprises a plurality of frames, and wherein the correlating the image data further comprises:
associating a first number of frames of the image data with a corresponding time period of the first set of physical activity data.

5 . The computer-implemented method of claim 3 , wherein the image data comprises a plurality of frames, the computer-implemented method further comprising:
determining, by the processor, a plurality of activity values for a first activity metric corresponding to the portion of the first set of physical activity data; and adjusting the plurality of activity values to be associated with at least a first frame of the image data.

6 . The computer-implemented method of claim 2 , further comprising:
establishing a communication channel with the first sensor, wherein the first sensor comprises a force sensor; and in response to establishing the communication channel, outputting, to a display device, a communication prompting the user to perform the first activity.

7 . The computer-implemented method of claim 6 , further comprising:
receiving, from the force sensor, a first set of data relating to the performance of the first activity by the user.

8 . The computer-implemented method of claim 7 , wherein the first set of data further comprises at least one of: a shoe type, a shoe color, or a shoe size.

9 . The computer-implemented method of claim 3 , further comprising:
receiving an input selection identifying the user; and in response to receiving the input selection, initiating the correlation of the image data in accordance with the portion of the first set of physical activity data.

10 . The computer-implemented method of claim 3 , further comprising:
determining, based on the portion of the first set of physical activity data, a second activity performed by the user; and in response to the determining the second activity, initiating the correlation of the image data in accordance with the portion of the first set of physical activity data.

11 . The computer-implemented method of claim 2 , further comprising:
receiving a second set of physical activity data corresponding to one or more previous athletic performances where the user performed the first activity; and correlating the image data in accordance with the second set of physical activity data.

12 . One or more non-transitory computer readable media storing instructions that, when executed by at least one processor, cause the at least one processor to:
receive a first set of physical activity data corresponding to an athletic performance comprising at least a first activity performed by a user, wherein the first set of physical activity data is generated by or derived from a first sensor; capture, by an image capturing device, image data corresponding to at least the first activity performed by the user; determine that a portion of the physical activity data is indicative of the user satisfying a first activity threshold; correlate the image data in accordance with the portion of the first set of physical activity data; and transmit the portion of the physical activity data and the image data to a computing device.

13 . The one or more non-transitory computer readable media of claim 12 , wherein the instructions, when executed, further cause the at least one processor to:
receive a second set of physical activity data corresponding to one or more previous athletic performances where the first user performed the first activity; and correlate the image data in accordance with the second set of physical activity data.

14 . The one or more non-transitory computer readable media of claim 12 , wherein the instructions, when executed, further cause the at least one processor to:
establish a communication channel with the first sensor, wherein the first sensor comprises a force sensor; and in response to establishing the communication channel, output, to a display device, a communication prompting the user to perform the first activity.

15 . The one or more non-transitory computer readable media of claim 14 , wherein the instructions, when executed, further cause the at least one processor to:
receive, from the force sensor, a first set of data relating to the user performing the first activity. i)

16 . The one or more non-transitory computer readable media of claim 15 , wherein the first set of data further comprises at least one of: a shoe type, a shoe color, or a shoe size.

17 . The one or more non-transitory computer readable media of claim 12 , wherein the instructions, when executed, further cause the at least one processor to:
determine, based on the portion of the first set of physical activity data, a second activity performed by the user; and in response to the determining the second activity, initiate the correlation of the image data in accordance with the portion of the first set of physical activity data.

18 . A computer-implemented method comprising:
receiving physical activity data corresponding to an athletic performance for a plurality of players, the physical activity data comprising data generated by or derived from a plurality of sensors; determining, by a processor, that one or more portions of the physical activity data is indicative of one or more players, of the plurality of players, satisfying a first athletic performance criterion; capturing, by an image capturing device, image data relating to the athletic performance; correlating the captured image data with the corresponding one or more portions of the physical activity data; aggregating the image data and the correlated one or more portions of the physical activity data to generate a highlight reel of the athletic performance; and transmitting the highlight reel to a computing device.

19 . The computer-implemented method of claim 18 , further comprising:
receiving an input selection identifying at least a first player of the plurality of players; and in response to receiving the input selection, initiating the correlation of the captured image data with the corresponding one or more portions of the physical activity data.

20 . The computer-implemented method of claim 18 , wherein the image data comprises a plurality of frames, the computer-implemented method further comprising:
determining a plurality of activity values for a first activity metric corresponding to the one or more portions of the physical activity data; and adjusting the plurality of activity values to be associated with at least a first frame of the image data.

21 . The computer-implemented method of claim

Assignees

• Nike Inc

Inventors

• Burroughs Brandon S
• Engelberg Richard J
• Rice Jordan M
• Sweet Bob
• Weast Aaron B
• Convay Wade
• Rooke-Ley Joshua

Classifications

• G09G5/14

  Display of multiple viewports · CPC title

• A63B2220/75

  Humidity · CPC title

• A63B43/06

  with illuminating devices {; with reflective surfaces} · CPC title

• A63B2220/12

  Absolute positions, e.g. by using GPS · CPC title

• A63B2230/06

  heartbeat rate only · CPC title