Recognition of EMG signal patterns by neural networks

Y. Matsumura, Yasue Mitsukura, M. Fukumi, N. Akamatsu, Y. Yamamoto, K. Nakaura

研究成果: Conference contribution

34 被引用数 (Scopus)

抄録

The paper tries to recognize EMG signals by using neural networks. The electrodes under the dry state are attached to wrists and then EMG is measured. These EMG signals are classified into seven categories, such as neutral, up and down, right and left, wrist to inside, wrist to outside by using a neural network. The neural network learns FFT spectra to classify them. Moreover, we perform the principal component analysis using the simple principal component analysis before we perform recognition experiments. It is shown that our approach is effective to classify the EMG signals by means of computer simulations.

本文言語English
ホスト出版物のタイトルICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
出版社Institute of Electrical and Electronics Engineers Inc.
ページ750-754
ページ数5
2
ISBN(印刷版)9810475241, 9789810475246
DOI
出版ステータスPublished - 2002
外部発表はい
イベント9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
継続期間: 2002 11 182002 11 22

Other

Other9th International Conference on Neural Information Processing, ICONIP 2002
国/地域Singapore
CitySingapore
Period02/11/1802/11/22

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 信号処理

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