The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2A2-D04
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Analysis of finger motion by myoelectric signals
Kiichi IKENAGAShima OKADA*Ryuta OZAWA
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Abstract

Myoelectric moments are calculated by the positions of electrodes weighted by myoelectric signals. The quantities are helpful in discriminating motions. We have already investigated the myoelectric signals from the hand shapes and the wrist motion. However, the discrimination of finger motions is more challenging because the finger motion generates smaller myoelectric signals than wrist and hand motions. In this paper, we preliminary investigate the myoelectric moments for various finger bending.

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© 2022 The Japan Society of Mechanical Engineers
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