• DocumentCode
    3049918
  • Title

    EMG pattern recognition by neural networks for multi fingers control

  • Author

    Uchida, Noriyoshi ; Hiraiwa, Akira ; Sonehara, Noboru ; Shimohara, Katsunori

  • Author_Institution
    NTT Human Interface Labs., NIPPON TELEGRAPH & TELEPHONE Corp, Yokosuka, Japan
  • Volume
    3
  • fYear
    1992
  • fDate
    Oct. 29 1992-Nov. 1 1992
  • Firstpage
    1016
  • Lastpage
    1018
  • Abstract
    This paper proposes that EMG patterns can be analyzed and classified by neural networks. Through experiments and on-line simulations, it is demonstrated that recognition of not only finger movement but also joint angles in continuously finger movement, based on EMG patterns, can be successfully accomplished.We also demonstrate a EMG controlled 5 fingers 10 joints robot hand.
  • Keywords
    biomechanics; electromyography; medical robotics; medical signal processing; neural nets; pattern recognition; signal classification; EMG pattern recognition; finger movement; joint angle; multifinger control; neural network; robot hand; signal classification; Artificial neural networks; Electromyography; Fingers; Joints; Pattern recognition; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-0785-2
  • Electronic_ISBN
    0-7803-0816-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1992.5761230
  • Filename
    5761230
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3049918