Analysis device, recording medium, and analysis method

• US 10,558,854 B2
• Filed: 11/06/2014
• Issued: 02/11/2020
• Est. Priority Date: 12/27/2013
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Watanabe, Yusuke, Matsunaga, Hideyuki
• Primary Examiner(s): Thai, Xuan M
• Assistant Examiner(s): Blaise, Malina D.
• Application Number:
  US15/033,755
• Publication Number:
  US 20160253553A1
• Time in Patent Office: 1,923 Days
• CPC Class Codes: A63B 71/06 Indicating or scoring devices for games or players , or for other sports activities
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06V 10/761 Proximity, similarity or dissimilarity measures
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G09B 19/0038 Sports

Abstract

To analyze data obtained from a series of sports plays as a series or a set, an analysis device is provided, including: a process configured to implement an acquisition function of acquiring data indicating play events defined based on a motion of a user who plays a sport, an extraction function of extracting a plurality of play events classified into the same type among the play events, and an analysis function of analyzing data indicating the plurality of extracted play events.

Claims

1. An analysis device, comprising:

a processor configured to

acquire data indicating a plurality of play events that occur consecutively in a time series, each play event being defined based on a motion of a sensor corresponding to a motion of a user who plays a sport,

analyze a feature of the motion of the user corresponding to each play event of the plurality of play events,

classify a type of each play event based on the analyzed feature of the motion,

extract play events among the plurality of play events that are classified into the same type,

analyze data indicating the extracted play events of the same type as an integrated group,

evaluate a degree of stability of the analyzed feature of the motion for each classified type of play event based on the analyzed data for each integrated group,

evaluate a temporal change in the degree of stability of each classified type of play event based on the analyzed data for a plurality of integrated groups,

control display of information indicating the evaluated temporal change in the degree of stability of each classified type of play event,

determine a learning level of the user, and

determine a degree of similarity between respective learning levels of a plurality of users.

2. The analysis device according to claim 1,

wherein the processor is further configured to determine the learning level of the user based on the evaluated degree of stability of the analyzed feature of the motion for each classified type of play event.

3. The analysis device according to claim 1,

wherein the processor controls display of the information indicating the evaluated temporal change in the degree of stability of each classified type of play event on a display.

4. The analysis device according to claim 3,

wherein the processor is further configured to control display of information indicating the degree of stability of the analyzed feature of the motion for each integrated group.

5. The analysis device according to claim 4,

wherein the processor controls display of the information indicating the evaluated degree of stability and the information indicating the evaluate temporal change in the degree of stability on a two-dimensional (2D) plane.

8. The analysis device according to claim 1,

wherein the degree of stability of the analyzed feature of the motion for each classified type of play event is evaluated based on the distribution of features of the extracted play events of the respective integrated group.

9. The analysis device according to claim 8,

wherein the degree of stability of the analyzed feature of the motion increases as the distribution of features of the extracted play events decreases.

10. The analysis device according to claim 1,

wherein the processor is further configured to control display of information indicating a distribution of features of the extracted play events of a respective integrated group.

6. A non-transitory computer-readable recording medium having embodied thereon a program, which when executed by a computer causes the computer to execute a method, the method comprising:

acquiring data indicating a plurality of play events that occur consecutively in a time series, each play event being defined based on a motion of a sensor corresponding to a motion of a user who plays a sport;

analyzing a feature of the motion of the user corresponding to each play event of the plurality of play events;

classifying a type of each play event based on the analyzed feature of the motion;

extracting play events among the plurality of play events that are classified into the same type;

analyzing data indicating the extracted play events of the same type as an integrated group;

evaluating a degree of stability of the analyzed feature of the motion for each classified type of play event based on the analyzed data for each integrated group;

evaluating a temporal change in the degree of stability of each classified type of play event based on the analyzed data for a plurality of integrated groups;

controlling display of information indicating the evaluated temporal change in the degree of stability of each classified type of play event;

determining a learning level of the user; and

determining a degree of similarity between respective learning levels of a plurality of users.

7. An analysis method, implemented via at least one processor, the method comprising:

acquiring data indicating a plurality of play events that occur consecutively in a time series, each play event being defined based on a motion of a sensor corresponding to a motion of a user who plays a sport;

analyzing a feature of the motion of the user corresponding to each play event of the plurality of play events;

classifying a type of each play event based on the analyzed feature of the motion;

extracting play events among the plurality of play events that are classified into the same type;

analyzing data indicating the extracted play events of the same type as an integrated group;

evaluating a degree of stability of the analyzed feature of the motion for each classified type of play event based on the analyzed data for each integrated group;

evaluating a temporal change in the degree of stability of each classified type of play event based on the analyzed data for a plurality of integrated groups;

controlling display of information indicating the evaluated temporal change in the degree of stability of each classified type of play event;

determining a learning level of the user; and

determining a degree of similarity between respective learning levels of a plurality of users.