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This study presents an online remote control of a robotic hand using sEMG signals on a forearm. Eight skin surface electrodes were mounted on a forearm to detect the sEMG signals that correspond to four hand configurations and rest condition. In order to enhance learning speed and performance of the classifier, a supervised feature extraction method and a fast learning classifier were proposed. The...
There are many difficulties to remotely control a robot over Internet such as transmission time delay, limitation of bandwidth, and packet loss. In this paper, we propose a novel remote control architecture and a communication architecture for Internet-based robots, which is insensitive to the transmission time delay and packet loss. The proposed architecture guarantees enhanced remote control by...
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