DocumentCode
2955391
Title
Analysis of the slip-related falls and fall prevention with an intelligent shoe system
Author
Onodera, Hiroshi ; Yamaguchi, Takeshi ; Yamanouchi, Hiroteru ; Nagamori, Kazumasa ; Yano, Masaru ; Hirata, Yasuhisa ; Hokkirigawa, Kazuo
Author_Institution
CREST, Nat. Nishitaga Hosp., Sendai, Japan
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
616
Lastpage
620
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 (Lmax) 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.
Keywords
biomedical optical imaging; footwear; gait analysis; handicapped aids; infrared imaging; intelligent control; mechanoception; medical control systems; medical signal processing; sliding friction; center of mass; dynamic standing balance; fall prevention; forward slip; intelligent control; intelligent shoe system; maximum distance; maximum velocity; movement disorders; shoe sole area; sliding friction coefficient; slip-related falls; slipping; slipping foot segment; static standing balance; support base; torso segment; walking; zero moment point; Artificial intelligence; Foot; Footwear; Force; Legged locomotion; Sensors; Torso;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2010 3rd IEEE RAS and EMBS International Conference on
Conference_Location
Tokyo
ISSN
2155-1774
Print_ISBN
978-1-4244-7708-1
Type
conf
DOI
10.1109/BIOROB.2010.5628030
Filename
5628030
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