US 11,937,918 B2
Learning system, walking training system, method, program, and trained model
Nobuhisa Otsuki, Toyota (JP); Issei Nakashima, Toyota (JP); Manabu Yamamoto, Toyota (JP); and Hodaka Kito, Nagoya (JP)
Assigned to TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed by TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed on May 28, 2020, as Appl. No. 16/885,809.
Claims priority of application No. 2019-119949 (JP), filed on Jun. 27, 2019.
Prior Publication US 2020/0406097 A1, Dec. 31, 2020
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); A63B 22/02 (2006.01); A63B 24/00 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 40/20 (2022.01)
CPC A61B 5/112 (2013.01) [A61B 5/7267 (2013.01); A61B 5/742 (2013.01); A63B 22/02 (2013.01); A63B 24/0006 (2013.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01); G06V 40/25 (2022.01); A63B 2024/0009 (2013.01); A63B 2024/0015 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A walking training system comprising:
a treadmill upon which a trainee walks;
a motor configured to assist a walking motion of the trainee by operating the treadmill upon which the trainee walks;
a sensor provided to detect a plurality of motion amounts in the walking motion of the trainee assisted by the motor; and
a processor configured to:
control the motor in accordance with a plurality of setting parameters,
evaluate that, for each of walking cycles of the walking motion in which the trainee walks, when at least one of the motion amounts matches one of a plurality of predetermined abnormal walking criteria, the walking motion in the walking cycle is an abnormal walking pattern that meets the abnormal walking criterion, wherein the abnormal walking pattern is detected when an actual motion amount does not achieve a minimum motion amount and the abnormal walking pattern is not detected when the actual motion amount achieves or exceeds the minimum motion amount, and
receive the plurality of setting parameters including a speed of the treadmill, and outputs the abnormal walking pattern associated with the plurality of setting parameters including the speed of the treadmill in order to determine which setting parameter of the plurality of setting parameters results in detection of the abnormal walking pattern.