Research on Virtual Training System for Intelligent Upper Limb Prosthesis with Bidirectional Neural Channels

Abstract

The training is very important for the application of electromyography (EMG) prosthesis. Because the traditional training with physical prostheses is inefficient and boring, the virtual training system, which has natural advantages in terms of intuitiveness and interactivity, is more widely used. In this study, a virtual training system for intelligent upper limb prosthesis with bidirectional neural channels has been developed. The training system features motion and sensation neural interaction, which is realized by an EMG control module and sense feedback module based on vibration stimulation. A Human-machine closed-loop interaction training based on the virtual system is studied. The experiments are carried out, and the effectiveness of the virtual system in shortening the training time and improving the operation ability of prosthesis has been verified.