US 12,357,875 B2
Exercise analysis device, exercise analysis method, and exercise analysis program
Nao Hirakawa, Hyogo (JP); Yasuhiro Nomura, Hyogo (JP); and Hajime Kumami, Hyogo (JP)
Assigned to ASICS CORPORATION, Kobe (JP)
Appl. No. 18/044,796
Filed by ASICS CORPORATION, Kobe (JP)
PCT Filed Oct. 20, 2020, PCT No. PCT/JP2020/039391
§ 371(c)(1), (2) Date Mar. 10, 2023,
PCT Pub. No. WO2022/085070, PCT Pub. Date Apr. 28, 2022.
Prior Publication US 2023/0285803 A1, Sep. 14, 2023
Int. Cl. A63B 24/00 (2006.01); A63B 71/06 (2006.01)
CPC A63B 24/0006 (2013.01) [A63B 24/0062 (2013.01); A63B 24/0075 (2013.01); A63B 71/0622 (2013.01); A63B 2024/0009 (2013.01)] 10 Claims
OG exemplary drawing
 
1. An exercise analysis device, comprising:
a group classification unit that classifies activity data, as which measurement data of a posture or a rotation angle of waist or pelvis of a user is recorded together with predetermined reference data that changes during exercise, into a plurality of groups based on the reference data;
a representative data generating unit that generates representative data for the activity data in each of the plurality of groups; and
a tendency analysis unit that analyzes a tendency of the representative data with respect to the reference data in the plurality of groups,
wherein the group classification unit is configured to classify the activity data based on an average value of the predetermined reference data and a standard deviation of the activity data,
the representative data generating unit is configured to generate the representative data by calculating an average value of the activity data belonging to each of the plurality of groups, and
the tendency analysis unit is configured to perform regression analysis on the representative data of the plurality of groups.