Recognition from EMG signals by an evolutional method and non-negative matrix factorization

Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

研究成果: Conference article

6 引用 (Scopus)

抜粋

In this paper, we propose a method of the noise rejection from a signal acquired from many channels using the Electromyograph (EMG) signals. The EMG signals is acquired by the 4th electrodes. EMG signals of 4ch(es) is decomposed into two processions using Non-Negative Matrix Factorization(NMF). And noise rejection is performed by applying the filter obtained by GA to the decomposed matrix. After performing noise rejection, EGM signals is reconstructed and the acquired EMG signal is recognized. The EMG signals based on 7 operations at a wrist are measured. We show the effectiveness of this method by means of computer simulations.

元の言語English
ページ(範囲)594-600
ページ数7
ジャーナルLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2773 PART 1
DOI
出版物ステータスPublished - 2003
イベント7th International Conference, KES 2003 - Oxford, United Kingdom
継続期間: 2003 9 32003 9 5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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