• DocumentCode
    393805
  • Title

    Recognition system of EMG patterns by neural networks

  • Author

    Matsumura, Yuji ; Fukumi, Minoru ; Mitsukura, Yasue ; Akamatsu, Norio ; Yamamoto, Yoshihiro ; Nakaura, Kazubiro

  • Author_Institution
    Fac. of Eng., Tokushima Univ., Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    1613
  • Abstract
    This paper tries to recognize EMG signals by using neural networks, These EMG signals are classified into seven categories, such as neutral, up and down. right and left, wrist to inside and wrist to outside. The neural network learns FFT spectra to classify them. It is shown that our approach is effective to classify the EMG signals by means of computer simulations.
  • Keywords
    electromyography; fast Fourier transforms; pattern classification; pattern recognition; EMG signals; FFT; neural networks; pattern recognition; signal recognition; Electromyography; Electronic mail; Filters; Fourier transforms; Frequency; Neural networks; Noise reduction; Pattern recognition; Performance analysis; Wrist;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1196553
  • Filename
    1196553
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=393805