EXERCISE ANALYSIS DEVICE, EXERCISE ANALYSIS SYSTEM, EXERCISE ANALYSIS METHOD, AND PROGRAM

• US 20160089568A1
• Filed: 09/16/2015
• Published: 03/31/2016
• Est. Priority Date: 09/26/2014
• Status: Abandoned Application

• Current Assignee: Seiko Epson Corporation (Seiko Group)
• Original Assignee: Seiko Epson Corporation (Seiko Group)
• Inventors: SHIBUYA, Kazuhiro
• Application Number:
  US14/855,841
• Publication Number:
  US 20160089568A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: G06F 2218/00 Aspects of pattern recognition specially adapted for signal processing
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• 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

Abstract

An exercise analysis device includes: a data acquisition unit that acquires detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and a motion detection unit that detects a motion of the swing exercise using detection data of an angular velocity generated by radial deviation or ulnar deviation of a wrist of the user among the detection data.

Claims

1. An exercise analysis device comprising:

a data acquisition unit that acquires detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and

a motion detection unit that detects a motion of the swing exercise using detection data of an angular velocity generated by radial deviation or ulnar deviation of a wrist of the user among the detection data.

2. The exercise analysis device according to claim 1,

wherein the motion detection unit uses detection data of an angular velocity of an axis at which the angular velocity generated by the radial deviation or the ulnar deviation of the wrist of the user is relatively larger than the angular velocities of the other axes among the detection data of the angular velocities generated around the plurality of axes.

4. The exercise analysis device according to claim 1,

wherein the motion detection unit detects an impact in the swing exercise based on the detection data used to detect a motion and detects a motion of the swing exercise using the impact as a criterion.

5. The exercise analysis device according to claim 4,

wherein the motion detection unit differentiates the angular velocity of the detection data used to detect a motion of the swing exercise and detects the impact based on the differential result.

6. The exercise analysis device according to claim 4,

wherein the motion detection unit detects a portion in which positive and negative values of the angular velocity are switched before the impact as a top of the swing exercise.

7. The exercise analysis device according to claim 6,

wherein the motion detection unit detects a portion in which the angular velocity is equal to or less than a predetermined threshold value before the top as start of the swing exercise.

8. The exercise analysis device according to claim 4,

wherein the motion detection unit detects a portion in which the angular velocity is equal to or less than a predetermined threshold value after the impact as end of the swing exercise.

9. An exercise analysis system comprising:

the exercise analysis device according to claim 1; and

a sensor that generates detection data.

3. An exercise analysis device comprising:

a data acquisition unit that acquires detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and

a motion detection unit that detects a motion of the swing exercise using, among the detection data, detection data of an angular velocity of an axis at which a change amount of angular velocity relatively larger than the angular velocities of the other axes when a direction of a swing is switched in the swing exercise.

10. An exercise analysis system comprising:

the exercise analysis device according to claim 3; and

a sensor that generates detection data.

11. An exercise analysis method comprising:

acquiring detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and

detecting a motion of the swing exercise using detection data of an angular velocity generated by radial deviation or ulnar deviation of a wrist of the user among the detection data.

12. The exercise analysis method according to claim 11,

wherein in the detecting of the motion of the swing exercise, detection data of an angular velocity of an axis at which the angular velocity generated by the radial deviation or the ulnar deviation of the wrist of the user is relatively larger than the angular velocities of the other axes is used among the detection data of the angular velocities generated around the plurality of axes.

14. The exercise analysis method according to claim 11,

wherein in the detecting of the motion of the swing exercise, an impact in the swing exercise is detected based on the detection data used to detect a motion and a motion of the swing exercise is detected using the impact as a criterion.

15. The exercise analysis method according to claim 14,

wherein in the detecting of the motion of the swing exercise, the angular velocity of the detection data used to detect a motion of the swing exercise is differentiated and the impact is detected based on the differential result.

16. The exercise analysis method according to claim 14,

wherein in the detecting of the motion of the swing exercise, a portion in which positive and negative values of the angular velocity are switched before the impact is detected as a top of the swing exercise.

17. The exercise analysis method according to claim 16,

wherein in the detecting of the motion of the swing exercise, a portion in which the angular velocity is equal to or less than a predetermined threshold value before the top is detected as start of the swing exercise.

18. The exercise analysis method according to claim 14,

wherein in the detecting of the motion of the swing exercise, a portion in which the angular velocity is equal to or less than a predetermined threshold value after the impact is detected as end of the swing exercise.

13. An exercise analysis method comprising:

acquiring detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and

detecting a motion of the swing exercise using, among the detection data, detection data of an angular velocity of an axis at which a change amount of angular velocity relatively larger than the angular velocities of the other axes when a direction of a swing is switched in the swing exercise.

19. A program causing a computer to perform:

acquiring detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and

detecting a motion of the swing exercise using detection data of an angular velocity generated by radial deviation or ulnar deviation of a wrist of the user among the detection data.

20. A program causing a computer to perform:

acquiring detection data of angular velocities generated around a plurality of axes in a swing exercise of a user; and

detecting a motion of the swing exercise using, among the detection data, detection data of an angular velocity of an axis at which a change amount of angular velocity relatively larger than the angular velocities of the other axes when a direction of a swing is switched in the swing exercise.