Recognition System for EMG Signals by using Non-negative Matrix Factorization

Yuuki Yazama; Yasue Mitsukura; Minoru Fukumi; Norio Akamatsu

Recognition System for EMG Signals by using Non-negative Matrix Factorization

Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

研究成果: Paper › 査読

抄録

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 are 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.

本文言語	English
ページ	2130-2133
ページ数	4
出版ステータス	Published - 2003 9月 24
外部発表	はい
イベント	International Joint Conference on Neural Networks 2003 - Portland, OR, United States 継続期間: 2003 7月 20 → 2003 7月 24

Other

Other	International Joint Conference on Neural Networks 2003
国/地域	United States
City	Portland, OR
Period	03/7/20 → 03/7/24

ASJC Scopus subject areas

ソフトウェア
人工知能

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引用スタイル

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AU - Yazama, Yuuki

AU - Mitsukura, Yasue

AU - Fukumi, Minoru

AU - Akamatsu, Norio

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Y1 - 2003/9/24

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AB - 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 are 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.

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T2 - International Joint Conference on Neural Networks 2003

Y2 - 20 July 2003 through 24 July 2003

ER -

Recognition System for EMG Signals by using Non-negative Matrix Factorization

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