Prof. Xinjun Sheng
Project Description and Objectives:
The objective of this project is to develop a myoelectric recording device for motionless gesture recognition. Surface electromyography (sEMG) contains abundant information related to hand motions that can be used to recognize different gestures. Motionless gesture recognition techniques aim to recognize gestures through electrophysiological activities of human muscles even if there are only motor intentions but real motions, which can be utilized to realize human-machine interactions under convert circumstances. To this end, we propose to develop a recording device for local high-density sEMG signals which could be used to decode the motor unit action potential trains (MUAPt). The relationship between motionless gestures and sEMG signals or the decoded MUAPt also will be investigated. Finally, a demonstration based on motionless gesture recognition technique should be given, for example, controlling a computer game.
The interested student should have a basic knowledge of electronic engineering and signal processing.