Analysis of the slip-related falls and fall prevention with an intelligent shoe system

Hiroshi Onodera, Takeshi Yamaguchi, Hiroteru Yamanouchi, Kazumasa Nagamori, Masaru Yano, Yasuhisa Hirata, Kazuo Hokkirigawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

We studied a relationship between a zero moment point (ZMP) and a base of support (BOS) during slipping. ZMP is the point on the ground where no moment may be transmitted about the whole body center of mass (COM). When subjects could walk without slipping, ZMP was located within the BOS at a single support phase. When a fall after a forward slip was observed, the ZMP remained outside of the BOS edge. The maximum distance between the ZMP and the BOS edge (L max) was longer in the fall group than in the recovery group (p < 0.001). The maximum velocity of the slipping foot segment relative to the torso segment (vr-max) had a positive correlation with Lmax. An intelligent shoe system, which can extend the shoe sole area (BOS) laterally, improved both static standing balance and dynamic standing balance. Thus, appropriate coefficient of sliding friction on the shoe sole and intelligent control of the shoe sole area would be of value in reducing the risk of falling, particularly for the people with movement disorders.

Original languageEnglish
Title of host publication2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
Pages616-620
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010 - Tokyo, Japan
Duration: 2010 Sep 262010 Sep 29

Publication series

Name2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010

Other

Other2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
CountryJapan
CityTokyo
Period10/9/2610/9/29

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering

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