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  Electromyogram (EMG) signal generated by voluntary contraction of muscles is often used in assitstive devices because of its distinct output characteristics compared to other bio-signals. This paper proposes a wearable EMG-based human-computer interface (HCI) for assistive robots such as a wheelchair robot and a myoelectric hand robot. The EMG signals for the HCI are measured from levator scapulae muscles concerned in shoulder elevation gestures and forearm muscles concerned in hand gestures. The experimental results show the proposed wearable EMG-based HCI is feasible for assistive robots.

Abstract<BR>Ⅰ. INTRODUCTION<BR>Ⅱ. WHEELCHAIR ROBOT<BR>Ⅲ. MULTIFUNCTION MYOELECTRIC HAND ROBOT<BR>Ⅳ. CONCLUSIONS<BR>REFERENCES<BR>

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