Recognition system of EMG patterns by neural networks

被引：0

作者：

Matsumura, Y ^{[1
]}

Fukumi, M ^{[1
]}

Mitsukura, Y ^{[1
]}

Akamatsu, N ^{[1
]}

Yamamoto, Y ^{[1
]}

Nakaura, KH ^{[1
]}

机构：

[1] Univ Tokushima, Fac Engn, Tokushima 7708506, Japan

来源：

SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5 | 2002年

关键词：

neural network; EMG; electrode; pattern recognition; FFT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper tries to recognize. EMG signals by using neural networks. These EMG signals am 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.

引用

页码：1613 / 1617

页数：5

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