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

Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Contribution to journalConference article

Abstract

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.

Original languageEnglish
Pages (from-to)594-600
Number of pages7
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2773 PART 1
Publication statusPublished - 2003 Dec 1
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sep 32003 Sep 5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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