Prediction of four degrees of freedom arm movement using EMG signal

Kyuwan Choi, Hideaki Hirose, Toshio Iijima, Yasuharu Koike

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

    10 Citations (Scopus)

    Abstract

    In this paper, we predicted four degrees of freedom movement of a monkey's arm by using a neural network model based on the EMG signal. Through the monkey's reaching task, we measured the electromyograms(EMG) signal from the seven muscles of the arm and simultaneously three dimensional movement trajectory of it. The neural network model used in this study is composed of three layers: the input layer with seven values from the EMG signal of the seven muscles, the middle layer consisted of ten and the output layer of four outputs. The movement predicted by this model was almost the same as the real movement. Besides we could implement no delay interface using the EMG signal that is a fundamental signal from the brain that makes it possible to induce the body's movement. Moreover we can predict not only the external movement of the monkey's arm but also the force of it, which is impossible to be sensed by the external movement sensing devices.

    Original languageEnglish
    Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
    Pages5820-5823
    Number of pages4
    Publication statusPublished - 2005 Dec 1
    Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
    Duration: 2005 Sep 12005 Sep 4

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Volume7 VOLS
    ISSN (Print)0589-1019

    Other

    Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
    CountryChina
    CityShanghai
    Period05/9/105/9/4

    Keywords

    • EMG signal
    • Human interface
    • Prediction of movement
    • Remote control of a robot

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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