Estimation of physical constraint condition by analyzing walking motions

In this paper, the estimation system of physical constraint conditions is proposed using motion data during walks. Walking motions of subjects who are fixed braces on their bodies were measured by a motion capturing system. We focused on the acceleration data on the body and found which parts in the...

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Published in2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2008; pp. 5196 - 5199
Main Authors Kurita, Yuichi, Kuraki, Daisuke, Ueda, Etsuko, Matsumoto, Yoshio, Ogasawara, Tsukasa
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2008
Subjects
Acceleration
Algorithms
Braces
Computer Simulation
Gait - physiology
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Models, Biological
Reproducibility of Results
Sensitivity and Specificity
Walking - physiology
Whole Body Imaging - methods
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Summary:In this paper, the estimation system of physical constraint conditions is proposed using motion data during walks. Walking motions of subjects who are fixed braces on their bodies were measured by a motion capturing system. We focused on the acceleration data on the body and found which parts in the body are influenced by the physical constraint. The estimation of the physical constraint condition was done by Hidden Markov Model (HMM) based on the reliability map created from the recognition rate. Experimental result shows that we can efficiently estimate the constraint condition by using data of the particular body parts.
ISBN:9781424418145
1424418143
ISSN:1094-687X
1557-170X
DOI:10.1109/IEMBS.2008.4650385