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MF133 Study on prediction of falling when using a walking aid
[in Japanese]
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Ouchi Yusuke
,
Matsumoto Osamu
,
Yoon Seong-Sik
,
Yamada Yoji
,
Adachi Yoshitaka
… We confirm the effectiveness of the proposed method by experiments using a sensor system attached to a subject. … The method determines whether he is in the state of safety or danger by use of Hidden Markov Models with his position, velocity, and direction of C.O.G data introduced. … Moreover, we developed a small, light-weight, and wireless sensor system attached to the subject, and confirmed the possibility of predicting a subject's fall through our overall proposal. …
The JSME Symposium on Welfare Engineering 2007, 70-71, 2007-09-30
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