Virtual Reality Training of Myoelectric Prosthesis with the Use of Sensory Feedback and Serious Game Techniques
ResumoIn this thesis, we propose a system that uses immersive Virtual Reality (iVR) and EMG signal processing (muscle activity) to provide a training environment for amputees who are supposed to use a myoelectric prosthesis. We also investigate the efficiency of learning how to control a virtual prosthesis with and without sensory feedback. Our results show that virtual training can be greatly improved when proper tactile feedback is provided, especially for myoelectric controlled prostheses.
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