The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2009
Session ID : 1A2-L13
Conference information
1A2-L13 The system based on SEMG that can hand motion recognition and estimate strength of muscle
Takemi NAKANOKentaro NAGATAMasahumi YAMADAKazushige MAGATANI
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Abstract
A hand motion recognition system using forearm SEMG is developed. In this system can recognize 18 hand and finger motions from the change of forearm SEMG. However this system cannot estimate the strength of muscle. So, the estimation method of muscle strength was experimentally developed. In this method, muscle strength was estimated using linear approximation for the amplitude of SEMG. In this paper, we evaluate this method.
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© 2009 The Japan Society of Mechanical Engineers
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