An electromyographic signal-based intelligent gesture action generation method, comprising: acquiring electromyographic signals of N channels by means of an electromyographic signal acquisition device; training a gesture-related neural network model by means of the electromyographic signals acquired in real time; and generating a gesture for an unknown electromyographic signal by means of the trained neural network model, and then applying the generated gesture to various scenes, for example, intelligent prostheses assisting the disabled, gesture control in a smart home, and exoskeleton devices in a military. The beneficial effects of the method are to provide an electromyographic signal-based intelligent gesture action generation method with high practicability, high flexibility, high accuracy and a wide application range.
ELECTROMYOGRAPHIC SIGNAL-BASED INTELLIGENT GESTURE ACTION GENERATION METHOD