US 12,109,479 B2
Exercise assistance device, exercise assistance method, and storage medium
Keisuke Shimada, Hamura (JP); and Takashi Yahata, Hamura (JP)
Assigned to CASIO COMPUTER CO., LTD., Tokyo (JP)
Appl. No. 17/605,562
Filed by CASIO COMPUTER CO., LTD., Tokyo (JP)
PCT Filed Feb. 19, 2020, PCT No. PCT/JP2020/006417
§ 371(c)(1), (2) Date Oct. 21, 2021,
PCT Pub. No. WO2020/217667, PCT Pub. Date Oct. 29, 2020.
Claims priority of application No. 2019-082235 (JP), filed on Apr. 23, 2019.
Prior Publication US 2022/0203207 A1, Jun. 30, 2022
Int. Cl. A63B 24/00 (2006.01); A63B 71/06 (2006.01); A63B 69/00 (2006.01)
CPC A63B 71/0622 (2013.01) [A63B 24/0062 (2013.01); A63B 69/0028 (2013.01); A63B 2071/0663 (2013.01); A63B 2214/00 (2020.08); A63B 2220/803 (2013.01); G06F 2218/12 (2023.01)] 8 Claims
OG exemplary drawing
 
1. An exercise assistance device comprising:
a data obtainer that obtains motion data on a motion of an arm of a user that is taking exercise while swinging the arm; and
at least one processor that performs principal component analysis of the motion data obtained by the data obtainer, and obtains, based on a result of performing the principal component analysis, arm-swing type information indicative of a type of arm-swing form of the user, wherein the type of arm-swing form of the user is a type of movement pattern in which the user swings their arm,
wherein:
the data obtainer comprises at least one sensor which detects the motion data in each of a plurality of axis directions,
in obtaining the arm-swing type information, the at least one processor obtains the arm-swing type information based on a level of dispersion of the motion data in each of the axis directions which is obtained by performing the principal component analysis, and
the at least one processor calculates eigenvalues in the respective axis directions, and based on the eigenvalues, the at least one processor calculates an indicator value indicating a straightness and a level of rotation of the arm swing form of the user, as the arm-swing type information.