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

Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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
Title of host publicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
EditorsV. Palade, R.J. Howlett, L. Jain
Pages594-600
Number of pages7
Volume2773 PART 1
Publication statusPublished - 2003
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sep 32003 Sep 5

Other

Other7th International Conference, KES 2003
CountryUnited Kingdom
CityOxford
Period03/9/303/9/5

Fingerprint

Factorization
Electrodes
Computer simulation

ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Yazama, Y., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2003). Recognition from EMG signals by an evolutional method and non-negative matrix factorization. In V. Palade, R. J. Howlett, & L. Jain (Eds.), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2773 PART 1, pp. 594-600)

Recognition from EMG signals by an evolutional method and non-negative matrix factorization. / Yazama, Yuuki; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ed. / V. Palade; R.J. Howlett; L. Jain. Vol. 2773 PART 1 2003. p. 594-600.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yazama, Y, Mitsukura, Y, Fukumi, M & Akamatsu, N 2003, Recognition from EMG signals by an evolutional method and non-negative matrix factorization. in V Palade, RJ Howlett & L Jain (eds), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). vol. 2773 PART 1, pp. 594-600, 7th International Conference, KES 2003, Oxford, United Kingdom, 03/9/3.
Yazama Y, Mitsukura Y, Fukumi M, Akamatsu N. Recognition from EMG signals by an evolutional method and non-negative matrix factorization. In Palade V, Howlett RJ, Jain L, editors, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). Vol. 2773 PART 1. 2003. p. 594-600
Yazama, Yuuki ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio. / Recognition from EMG signals by an evolutional method and non-negative matrix factorization. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). editor / V. Palade ; R.J. Howlett ; L. Jain. Vol. 2773 PART 1 2003. pp. 594-600
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