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

Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Pages2130-2133
Number of pages4
Volume3
Publication statusPublished - 2003
Externally publishedYes
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: 2003 Jul 202003 Jul 24

Other

OtherInternational Joint Conference on Neural Networks 2003
CountryUnited States
CityPortland, OR
Period03/7/2003/7/24

Fingerprint

Factorization
Frequency bands
Genetic algorithms
Neural networks
Computer simulation
Experiments

ASJC Scopus subject areas

  • Software

Cite this

Yazama, Y., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2003). Recognition System for EMG Signals by using Non-negative Matrix Factorization. In Proceedings of the International Joint Conference on Neural Networks (Vol. 3, pp. 2130-2133)

Recognition System for EMG Signals by using Non-negative Matrix Factorization. / Yazama, Yuuki; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio.

Proceedings of the International Joint Conference on Neural Networks. Vol. 3 2003. p. 2130-2133.

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

Yazama, Y, Mitsukura, Y, Fukumi, M & Akamatsu, N 2003, Recognition System for EMG Signals by using Non-negative Matrix Factorization. in Proceedings of the International Joint Conference on Neural Networks. vol. 3, pp. 2130-2133, International Joint Conference on Neural Networks 2003, Portland, OR, United States, 03/7/20.
Yazama Y, Mitsukura Y, Fukumi M, Akamatsu N. Recognition System for EMG Signals by using Non-negative Matrix Factorization. In Proceedings of the International Joint Conference on Neural Networks. Vol. 3. 2003. p. 2130-2133
Yazama, Yuuki ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio. / Recognition System for EMG Signals by using Non-negative Matrix Factorization. Proceedings of the International Joint Conference on Neural Networks. Vol. 3 2003. pp. 2130-2133
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