Dynamics & Design Conference
Online ISSN : 2424-2993
セッションID: 744
会議情報
744 筋電信号による動作識別を用いた多指ハンドのマニュピレーション(支援機器, OS-22 福祉工学)
辻内 伸好小泉 孝之吉田 光宏米田 光宏
著者情報
会議録・要旨集 フリー

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抄録
In this research, the control technique of the robot hand, which used EMG signals measured on the skin surface, was proposed. The signals corresponding to motions were quantitatively generated from EMG signals using linear multiple regression models. A learning process is needed in this method, but it takes only a short time. By using the generated signals, discernment of hand motions and adjustment of grasping force were realized. In this paper, In order to prove the validity of this technique, the experiment, which used the robot hand, was conducted. And subjects was able to adjust grasping force with this method.
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© 2004 一般社団法人 日本機械学会
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