Recognition system for EMG signals by using non-negative matrix factorization

被引：0
|
作者：
Yazama, Y [1 ]
Mitsukura, Y [1 ]
Fukumi, M [1 ]
Akamatsu, N [1 ]
机构：
[1] Univ Tokushima, Fac Engn, Dept Informat Sci & Intelligent Syst, Tokushima 770, Japan
来源：
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年
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：
IIn this paper, the feature vector of a few dimension for the electromyograph (EMG) recognition systems is extracted. We aim at the construction of the comprehensive operation equipment to which the operation used frequently was summarized. Important frequency bands of EMG signals are selected by using a genetic algorithm. The EMG signals are a kind of the living organism signal. The EMG signals based on 7 operations at a wrist axe measured and recognized. We perform a recognition experiment of EMG signals by neural network using the selected frequency band. We show the effectiveness of this method by means of computer simulations.
引用
收藏
页码：2130 / 2133
页数：4
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