Development of Postures Estimation System for Walking Training

Zhihao Zheng, Xing Li, Shigeyuki Tateno*

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this era of sub-health, walking has been proclaimed as the best sport because it can gradually enhance body function and relieve stress. However, bad walking postures during sports time could cause unnoticed bad effect on the spine, joints, and muscles. It is necessary to develop a system to monitor the walking postures and remind people of the bad postures. There are some limitations of traditional gait monitoring systems, such as the scant number of walking postures to be detected and the specific using environment. This paper presents a walking postures estimation system with inertial measurement unit (IMU) that is able to detect the walking postures correctly, meanwhile the device of the system is easy to be attached. This system uses random forest method with the features using acceleration data and gyro date collected by IMU to classify walking postures such as bow legs and knock knees. According to the classification results, the presented system is able to classify different walking postures of users correctly.

本文言語English
ホスト出版物のタイトル2018 International Automatic Control Conference, CACS 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538662786
DOI
出版ステータスPublished - 2019 1 9
イベント2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan, Province of China
継続期間: 2018 11 42018 11 7

出版物シリーズ

名前2018 International Automatic Control Conference, CACS 2018

Conference

Conference2018 International Automatic Control Conference, CACS 2018
国/地域Taiwan, Province of China
CityTaoyuan
Period18/11/418/11/7

ASJC Scopus subject areas

  • 制御と最適化
  • モデリングとシミュレーション

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