Recognition of EMG signal patterns by neural networks

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

doi:10.1109/ICONIP.2002.1198158

Recognition of EMG signal patterns by neural networks

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

36 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	750-754
Number of pages	5
Volume	2
ISBN (Print)	9810475241, 9789810475246
DOIs	https://doi.org/10.1109/ICONIP.2002.1198158
Publication status	Published - 2002
Externally published	Yes
Event	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22

Other

Other	9th International Conference on Neural Information Processing, ICONIP 2002
Country/Territory	Singapore
City	Singapore
Period	02/11/18 → 02/11/22

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing

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10.1109/ICONIP.2002.1198158

Cite this

Matsumura, Y., Mitsukura, Y., Fukumi, M., Akamatsu, N., Yamamoto, Y., & Nakaura, K. (2002). Recognition of EMG signal patterns by neural networks. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (Vol. 2, pp. 750-754). [1198158] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1198158

Recognition of EMG signal patterns by neural networks. / Matsumura, Y.; Mitsukura, Yasue; Fukumi, M. et al.
ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 2002. p. 750-754 1198158.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Matsumura, Y, Mitsukura, Y, Fukumi, M, Akamatsu, N, Yamamoto, Y & Nakaura, K 2002, Recognition of EMG signal patterns by neural networks. in ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. vol. 2, 1198158, Institute of Electrical and Electronics Engineers Inc., pp. 750-754, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 02/11/18. https://doi.org/10.1109/ICONIP.2002.1198158

Matsumura Y, Mitsukura Y, Fukumi M, Akamatsu N, Yamamoto Y, Nakaura K. Recognition of EMG signal patterns by neural networks. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 2. Institute of Electrical and Electronics Engineers Inc. 2002. p. 750-754. 1198158 doi: 10.1109/ICONIP.2002.1198158

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Recognition of EMG signal patterns by neural networks

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