2014•The Proceedings of the Conference on Information Intelligence and Precision Equipment IIPOpen access

G-2-5 Estimation of Upper-Limb Motion Using EEG and EMG Signals

Yoshiaki Hayashi, Sho Yamaguchi, Kazuo Kiguchi

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Abstract

An electromyogram signal is one of the commonly used input signals to control an electrical arm. Some estimation methods of the user's motion intention based on the electromyogram signals have been proposed in order to control electrical arms according to the user's motion intention. However, in the cases of above elbow amputees, the muscles which are used to generate the forearm and wrist motions are missing, and electromyogram signals of those muscles could not be measured. To control the forearm and wrist motions of an electrical arm for above elbow amputees, other input signals are necessary. In this paper, to control the forearm and wrist motions of an electrical arm, we estimate the target position of the hand based on the electroencephalogram signals, the shoulder and elbow angles.

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An electromyogram signal is one of the commonly used input signals to control an electrical arm. Some estimation methods of the user's motion intention based on the electromyogram signals have been proposed in order to control electrical arms according to the user's motion intention. However, in the cases of above elbow amputees, the muscles which are used to generate the forearm and wrist motions are missing, and electromyogram signals of those muscles could not be measured. To control the forearm and wrist motions of an electrical arm for above elbow amputees, other input signals are necessary. In this paper, to control the forearm and wrist motions of an electrical arm, we estimate the target position of the hand based on the electroencephalogram signals, the shoulder and elbow angles.

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Available abstract

An electromyogram signal is one of the commonly used input signals to control an electrical arm. Some estimation methods of the user's motion intention based on the electromyogram signals have been proposed in order to control electrical arms according to the user's motion intention. However, in the cases of above elbow amputees, the muscles which are used to generate the forearm and wrist motions are missing, and electromyogram signals of those muscles could not be measured. To control the forearm and wrist motions of an electrical arm for above elbow amputees, other input signals are necessary. In this paper, to control the forearm and wrist motions of an electrical arm, we estimate the target position of the hand based on the electroencephalogram signals, the shoulder and elbow angles.

Key concepts: Forearm, Wrist, Elbow, Upper limb, Electromyography, Elbow flexion, SIGNAL (programming language), Computer science

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G-2-5 Estimation of Upper-Limb Motion Using EEG and EMG Signals — Research Paper | ScholarLens