Directional intention identification for running control of an OmniDirectional Walker

Yinlai Jiang, Shuoyu Wang, Kenji Ishida, Takeshi Ando, Masakatsu G. Fujie

    研究成果: Article

    12 引用 (Scopus)

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    Walking is a vital exercise for health promotion and a fundamental ability necessary for everyday life. In previous work, we developed an OmniDirectional Walker (ODW) for walking rehabilitation and walking support. In walking support, it is necessary for the ODW to know the direction the user intends to go based on user manipulation. Actual directional intent must, however, be identified from physical manipulation because a user's directional intent and physical manipulation are not always mutually consistent. In this paper, a novel interface is proposed to recognize a user's directional intention according to the forearm pressures exerted to the ODW by the user with wrists and elbows. The forearm pressures are measured by 4 sensors embedded in the ODW's armrest. The relationship between forearm pressure and directional intention was extracted as fuzzy rules and an algorithm was proposed for directional intention identification based on distance-type fuzzy reasoning method. The effectiveness of the algorithm was verified by experimental reasoning results demonstrated to be consistent with intended directions.

    元の言語English
    ページ(範囲)784-792
    ページ数9
    ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
    14
    発行部数7
    出版物ステータスPublished - 2010 11

      フィンガープリント

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction

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