Pattern recognition of EMG signals by the evolutionary algorithms

Kentaro Tohi, Yasue Mitsukura, Yuki Yazama, Minoru Fukumi

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

4 Citations (Scopus)

Abstract

In this paper, we propose a method of function derivation for performing recognition of wrist operations by the Electromyographic (EMG) signals extracted from 4-channel EMG sensor. In designing a recognition device of operations, the important fewer amount of information is needed for reduction of cost and accuracy improvement in practical systems. Then, date mining is performed by specifying important frequency bands using genetic algorithm (GA) and neural network (NN). The derivation of function for generating a feature vector is performed only using the important frequency bands obtained by GA and NN. In this case, the feature vector which consists of frequency spectrum to be used is mapped to another space. We use the generated function as an input feature to perform recognition experiments of EMG signal by NN. Finally, the effectiveness of this method is demonstrated by means of computer simulations

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages2574-2577
Number of pages4
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Fingerprint

Evolutionary algorithms
Pattern recognition
Neural networks
Frequency bands
Genetic algorithms
Sensors
Computer simulation
Costs
Experiments

Keywords

  • Electromyographic
  • Feature vector
  • Genetic algorithm
  • Neural network

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Tohi, K., Mitsukura, Y., Yazama, Y., & Fukumi, M. (2006). Pattern recognition of EMG signals by the evolutionary algorithms. In 2006 SICE-ICASE International Joint Conference (pp. 2574-2577). [4108078] https://doi.org/10.1109/SICE.2006.314791

Pattern recognition of EMG signals by the evolutionary algorithms. / Tohi, Kentaro; Mitsukura, Yasue; Yazama, Yuki; Fukumi, Minoru.

2006 SICE-ICASE International Joint Conference. 2006. p. 2574-2577 4108078.

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

Tohi, K, Mitsukura, Y, Yazama, Y & Fukumi, M 2006, Pattern recognition of EMG signals by the evolutionary algorithms. in 2006 SICE-ICASE International Joint Conference., 4108078, pp. 2574-2577, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 06/10/18. https://doi.org/10.1109/SICE.2006.314791
Tohi K, Mitsukura Y, Yazama Y, Fukumi M. Pattern recognition of EMG signals by the evolutionary algorithms. In 2006 SICE-ICASE International Joint Conference. 2006. p. 2574-2577. 4108078 https://doi.org/10.1109/SICE.2006.314791
Tohi, Kentaro ; Mitsukura, Yasue ; Yazama, Yuki ; Fukumi, Minoru. / Pattern recognition of EMG signals by the evolutionary algorithms. 2006 SICE-ICASE International Joint Conference. 2006. pp. 2574-2577
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