TY - GEN
T1 - EMG signal decoded based virtual artificial intelligence hand control system
AU - Yu, Long
AU - Gen, Yanjuan
AU - Tao, Dandan
AU - Zhou, Guodong
AU - Chen, Liang
AU - Li, Guanglin
AU - Wu, Lushen
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Electromyography
KW - Multifunctional prosthesis control
KW - Virtual reality technology
UR - https://www.scopus.com/pages/publications/79960446312
U2 - 10.4028/www.scientific.net/AMR.268-270.422
DO - 10.4028/www.scientific.net/AMR.268-270.422
M3 - 会议稿件
AN - SCOPUS:79960446312
SN - 9783037851555
T3 - Advanced Materials Research
SP - 422
EP - 427
BT - Computational Materials Science, CMS 2011
T2 - 2011 International Conference on Computational Materials Science, CMS 2011
Y2 - 17 April 2011 through 18 April 2011
ER -