대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)

대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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근전도 신호인식을 위한 HMM과 GA-MLP의 합성에 관한 연구

A Study on the Synthesis of HMM and GA-MLP for EMG Signal Recognition

  • Shin, C.K. (Department of Electronic Engineering, Inha University) ;
  • Lee, D.H. (Department of Electronic Engineering, Inha University) ;
  • Lee, S.M. (Department of Electronic Engineering, Inha University) ;
  • Kwon, J.W. (Korea Industrial Property Office) ;
  • Hong, S.H. (Department of Electronic Engineering, Inha University)
  • 발행 : 1996.11.15
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초록

In this paper, we suggested the combination of HMM(Hidden Markov Model) and MLP (Multi-Layer Perceptron) with GA(genetic algorithm) for a recognition of EMG signals. To describe EMG signal's dynamic properties, HMM algorithm was adapted and due to its outstanding abilities in static signal classification MLP was connected as a real processor. We also used GA( Genetic Algorithm) for improving MLP's learning rate. Experimental results showed that the suggested classifier gave higher EMG signal recognition rates with faster learning time than other one.

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