The Proceedings of the JSME Symposium on Welfare Engineering
Online ISSN : 2424-3035
2009
Session ID : 2C1-1
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2C1-1 Robust Motion Discrimination Based on Human Forearm Myoelectric Potential by Adaptive Fuzzy Inference Considering Muscle Fatigue
Atsushi KISOHirokazu SEKI
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Abstract
This paper describes a robust motion discrimination method based on the myoelectric potential of human forearm by the adaptive fuzzy inference considering the muscle fatigue. In the conventional studies, a motion discrimination based on the myoelectric potential of human forearm realizes the high discrimination precision. However, the characteristic of the myoelectric potential gradually changes for muscle fatigue. Therefore the motion discrimination considering muscle fatigue is required. The purpose of this study is to correspond to the change in the myoelectric potential by the muscle fatigue. This study proposes the redesign method of the fuzzy inference adapting to the dynamic change of the myoelectric potential by the muscle fatigue. Some experiments on the myoelectric hand simulator show the effectiveness of the proposed motion discrimination method.
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© 2009 The Japan Society of Mechanical Engineers
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