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JRM Vol.32 No.5 pp. 947-957
doi: 10.20965/jrm.2020.p0947
(2020)

Paper:

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Study on Human Behavior Classification by Using High-Performance Shoes Equipped with Pneumatic Actuators

Yasuhiro Hayakawa*, Yuta Kimata**, and Keisuke Kida**

*Department of Control Engineering, National Institute of Technology, Nara College
22 Yata-cho, Yamatokoriyama, Nara 639-1058, Japan

**Advanced Mechanical Engineering Course, National Institute of Technology, Nara College
22 Yata-cho, Yamatokoriyama, Nara 639-1058, Japan

Received:
March 30, 2020
Accepted:
June 29, 2020
Published:
October 20, 2020
Creative Commons License
Keywords:
pneumatics, supervised machine-learning classifiers, rehabilitation, walking training, shoes
Abstract
The shoes and dedicated insole elements

The shoes and dedicated insole elements

In Japan, accidents involving the falling of elderly people are increasingly becoming a problem. To solve this problem, walking training is effective for preventing falls of elderly people. In this study, a walking training system was developed in which high-performance shoes are used to improve the efficiency of walking training. The high-performance shoes have three functions: 1) measurement of plantar pressure using changes in the inner pressure of the insole, 2) leg movement measurement using a six-axis motion sensor, and 3) applying stimulus to the sole of the foot by changing the shape of the insole. A unique rubber element was developed for these functions. Furthermore, a system to predict the behavior of patients during walking training was developed. Based on experimental results, four types of behavior of patients during walking training were predicted. Moreover, leave-one-person-out cross validation was performed by the random forest (RF) machine-learning algorithm, and the F-measure was calculated. As a result, the four types of behavior were classified with an F-measure of 78.6%.

Cite this article as:
Y. Hayakawa, Y. Kimata, and K. Kida, “Study on Human Behavior Classification by Using High-Performance Shoes Equipped with Pneumatic Actuators,” J. Robot. Mechatron., Vol.32 No.5, pp. 947-957, 2020.
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Last updated on Jun. 05, 2023