Information processing device, sensor device, information processing system, and storage medium

1. An information processing system for analyzing motion patterns of a sports equipment item, comprising:

the sports equipment item;

one or more sensors coupled to the sports equipment item, the one or more sensors generating time series data representing motion of the sports equipment item;

a non-transitory computer readable storage device including instructions that when executed by a processor configure the processor to implement an information processing method, the method comprising:

receiving the time-series data from the one or more sensors;

identifying a motion pattern of the sports equipment item as one of plural predetermined motion patterns based on the time-series data from the one or more sensors and a stored dictionary defining each of the plural predetermined motion patterns; and

controlling display of an impact position distribution for each motion pattern identified in the identifying,

wherein the impact position distribution displays a color corresponding to a frequency of impact occurrence.

2. The information processing system according to claim 1 , the method further comprising:

counting with the processor a number of impacts for each motion pattern identified in the identifying.

3. The information processing system according to claim 1 , the method further comprising:

displaying a shot type ratio for each motion pattern identified in the identifying.

4. The information processing system according to claim 3 , wherein

the controlling display includes controlling display of the shot type ratio according to a color classification.

5. The information processing system according to claim 1 ,

wherein the controlling display includes displaying at a same time the impact position distribution with a number of impacts.

6. The information processing system according to claim 1 ,

wherein the controlling display includes displaying the impact position distribution to overlap on a diagram representing an image of the sport equipment item.

7. The information processing system according to claim 1 , further comprising determining a shot type by a corresponding motion pattern.

8. The information processing system according to claim 7 ,

wherein the shot type includes a tennis stroke.

9. The information processing system according to claim 8 ,

wherein the tennis stroke includes at least one of a forehand, a backhand, a serve, a smash and a volley.

10. The information processing system according to claim 1 , wherein the sports equipment item is one of a tennis racket, a clothing item, a shoe, or a wristband.

11. The information processing system according to claim 1 , wherein the one or more sensors include a shock sensor and a motion sensor,

wherein, in response to each of plural shock events, the method further comprising:

receiving input data from the shock sensor which is configured to output data defining a respective shock event;

receiving the time-series data from the motion sensor that senses the motion of the sports equipment item, the shock sensor having a greater dynamic range in acceleration than the motion sensor;

selling a length of a pre-shock portion of a target segment of the time-series data as a length of the longest pre-shock portion among plural predetermined motion patterns;

setting a length of a post-shock portion of the target segment as a length of the longest post-shock portion among the plural predetermined motion patterns;

identifying the target segment according to the defined respective shock event and the set lengths of the pre-shock portion and the post-shock portion;

identifying an impact position; and

identifying the motion of the sports equipment item as one of the plural predetermined motion patterns based on the identified target segment of the time-series data and the stored dictionary defining each of the plural predetermined motion patterns.

12. An information processing method for analyzing motion patterns of a sports equipment item, comprising:

detecting motion of the sports equipment item with one or more sensors coupled to the sports equipment item;

generating time series data representing the motion of the sports equipment item based on the motion detected by the one or more sensors;

receiving the time-series data from the one or more sensors;

identifying a motion pattern of the sports equipment item as one of plural predetermined motion patterns based on the time-series data from the one or more sensors and a stored dictionary defining each of the plural predetermined motion patterns; and

controlling displaying of an impact position distribution for each motion pattern identified in the identifying,

wherein the impact position distribution displays a color classification corresponding to a frequency of impact occurrence.

13. The method according to claim 12 , further comprising

counting with a processor a number of impacts for each motion pattern identified in the identifying.

14. The method according to claim 12 , further comprising:

displaying a shot type ratio for each motion pattern identified in the identifying.

15. The method according to claim 14 , wherein

the controlling displaying includes displaying the shot type ratio according to a color classification.

16. The method according to claim 12 ,

wherein the controlling displaying includes displaying at a same time the impact position distribution with a number of impacts.

17. The method according to claim 12 ,

wherein the controlling displaying includes displaying the impact position distribution to overlap on a diagram representing an image of the sports equipment item.

18. The method according to claim 12 , further comprising:

determining a shot type by a corresponding motion pattern, wherein the shot type includes a tennis stroke, and the tennis stroke includes at least one of a forehand, a backhand, a serve, a smash and a volley.

19. The method according to claim 12 , wherein

the sports equipment item is one of a tennis racket, a clothing item, a shoe, or a wristband.

20. The method according to claim 12 ,

wherein the one or more sensors include a shock sensor and a motion sensor,

wherein, in response to each of plural shock events, the method further comprising:

receiving input data from the shock sensor which is configured to output data defining a respective shock event;

receiving the time-series data from the motion sensor that senses the motion of the sports equipment item, the shock sensor having a greater dynamic range in acceleration than the motion sensor;

setting a length of a pre-shock portion of a target segment of the time-series data as a length of the longest pre-shock portion among plural predetermined motion patterns;

setting a length of a post-shock portion of the target segment as a length of the longest post-shock portion among the plural predetermined motion patterns;

identifying the target segment according to the defined respective shock event and the set lengths of the pre-shock portion and the post-shock portion;

identifying an impact position; and

identifying the motion of the sports equipment item as one of the plural predetermined motion patterns based on the identified target segment of the time-series data and the stored dictionary defining each of the plural predetermined motion patterns.