With the increase number of limb disable patients, caused by stroke or paralysis, rehabilitation robots and their human-robot interface earned widespread respect. Based on our previous study about Neuromuscular Interface (NI), this research aims at recording and processing EMG signals from test subjects to accurately represent the movement created by these muscle groups on the elbow joint, and through a designed NI control system to control an single-degree-of-freedom (SDOF) exoskeleton arm for flexion and extension. Also, experiments are used to verify the feasibility of the whole interface system. Improvements have been made to achieve accuracy control, real-time processing and wireless transferring.
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