Recognition System of EMG patterns by Neural Networks

Yuji Matsumura; Minoru Fukumi; Yasue Mitsukura; Norio Akamatsu; Yoshihiro Yamamoto; Kazuhiro Nakaura

doi:10.11499/sicep.2002.0.356.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.356.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Recognition System of EMG patterns by Neural Networks

Yuji Matsumura, Minoru Fukumi, Yasue Mitsukura, Norio Akamatsu, Yoshihiro Yamamoto, Kazuhiro Nakaura

Author information

Keywords: Neural Network, EMG, Electrode, Pattern Recognition, FFT

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 356

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Abstract

This paper tries to recognize EMG signals by using neural networks. These EMG signals are classified into seven categories, such as neutral, up and down, right and left, wrist to inside and wrist to outside. The neural network learns FFT spectra to classify them. It is shown that our approach is effective to classify the EMG signals by means of computer simulations.

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