Hand movement recognition based on biosignal analysis

  title={Hand movement recognition based on biosignal analysis},
  author={Pawel Wojtczak and Tito G. B. Amaral and Oct{\'a}vio P{\'a}scoa Dias and Andrzej Wolczowski and Marek Kurzynski},
  journal={Eng. Appl. of AI},
This paper proposes a methodology that analyses and classifies the electromyographic (EMG) signals using neural networks to control multifunction prostheses. The control of these prostheses can be made using myoelectric signals taken from surface electrodes. Finger motions discrimination is the key problem in this study. Thus the emphasis, in the proposed work, is put on myoelectric signal processing approaches. The EMG signals classification system was established using the linear neural… CONTINUE READING
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Control - measurement circuit of myoelectric prosthesis hand

  • A. Wolczowski, K. Krysztoforski
  • 2002
1 Excerpt

Control-measurement circuit of myoelectric prosthesis hand. 4 (Supplement

  • A. Wolczowski, K. Krysztoforski
  • Proceedings of 13th Conference of the European…
  • 2002
1 Excerpt

A combination of ar and neural network technique for EMG pattern identification

  • A. Asres, H. F. Dou, Z. Y. Zhou, Y. L. Zhang, S. C. Zhu
  • Proceedings of the Annual International…
  • 1996
3 Excerpts

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