Abstract
In order to control the prosthetic hand following the user’s intention, a control strategy based on the EMG signals and the user’s attention concentration is proposed in this paper. A portable EEG device, MindWave, is employed to capture the user’s attention concentration. In the procedure of motion recognition, the beginning and end of the user’s action intent is discriminated by the user’s attention concentration and the Willison amplitude of the EMG signals. The integrated EMG is used to estimate the grasp force and the opening-and-closing speed of the prosthetic hand. An EMG signal model is proposed to eliminate the interference between the two channels of the EMG signals. The Experiments are implemented to verify the proposed control strategy. The results indicate that the proposed strategy is of effectiveness.
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© 2015 Springer International Publishing Switzerland
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Wu, C., Song, A., Ji, P. (2015). A Control Strategy for Prosthetic Hand Based on Attention Concentration and EMG. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2015. Lecture Notes in Computer Science(), vol 9244. Springer, Cham. https://doi.org/10.1007/978-3-319-22879-2_28
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DOI: https://doi.org/10.1007/978-3-319-22879-2_28
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