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Design and Implementation of Myoelectric Controlled Arm

Younes, Tariq M., AlKhedher, Mohammad A., SOLIMAN, Abdel-Hamid and Al Alawin, Aiman (2019) Design and Implementation of Myoelectric Controlled Arm. Journal of Mechatronics and Robotics, 3 (1). pp. 552-562. ISSN 2617-0345

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Abstract or description

In this paper, a discrimination system, using a neural network for electromyogram (EMG) externally controlled Arm is proposed. In this system, the Artificial Neural Network (ANN) is used to learn the relation between the power spectrum of EMG signal analysed by Fast Fourier Transform (FFT) and the performance desired by handicapped people. The Neural Network can discriminate 4 performances of the EMG signals simultaneously. The digital signal processing was realized using MATLAB and LabVIEW software.

Item Type: Article
Faculty: School of Creative Arts and Engineering > Engineering
Depositing User: Abdel-Hamid SOLIMAN
Date Deposited: 27 Jan 2020 11:03
Last Modified: 27 Jan 2020 11:03
URI: http://eprints.staffs.ac.uk/id/eprint/6099

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