Recognition of EMG signal patterns by neural networks

被引：0

作者：

Matsumura, Y ^{[1
]}

Mitsukura, Y

Fukumi, M

Akamatsu, N

Takeda, F

机构：

[1] Univ Tokushima, Grad Sch Engn, Tokushima 7708506, Japan

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

[3] Kochi Univ Technol, Grad Sch Engn, Kochi 7828502, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | 2003年 / 2773卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper tries to recognize EMG signals by using neural networks. The electrodes under the dry state are attached to wrists and then EMG is measured. These EMG signals are classified into seven categories, such as neutral, up and down, right and left, wrist to inside, wrist to outside by using a neural network. The NN learns FFT spectra to classify them. Moreover, we structuralized NN for improvement of the network. It is shown that our approach is effective to classify the EMG signals by means of computer simulations.

引用

页码：623 / 630

页数：8

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