Paper Title:
EMG Signal Decoded Based Virtual Artificial Intelligence Hand Control System
  Abstract

An electromyography (EMG) decoded based virtual artificial intelligence control system has been developed to quantify the performance of real-time control of a multifunctional myoelectric prosthesis. To develop this platform system, a three-dimensional upper limb was simulated by using Solidworks and then implemented into an integrated scene of virtual artificial limb ,which was programmed in virtual reality modeling language (VRML) and performed through Simulink toolbox of the MATLAB. By decoding surface electromyography (sEMG) signals collected from arm muscle surface, the platform system can identify thesix classes of different arm and hand movements and control the virtual artificial limb and/or the physical arms simultaneously. The VR-based platform also provides a relaxant and enjoyable training environment for prosthesis-users in clinic.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
422-427
DOI
10.4028/www.scientific.net/AMR.268-270.422
Citation
L. Yu, Y. J. Gen, D. D. Tao, G. D. Zhou, L. Chen, G. L. Li, L. S. Wu, "EMG Signal Decoded Based Virtual Artificial Intelligence Hand Control System", Advanced Materials Research, Vols. 268-270, pp. 422-427, 2011
Online since
July 2011
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Price
$32.00
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