Muscle motion feature recognition method and system

Abstract

The invention provides a muscle movement feature recognition method and system. The method comprises the steps of collecting human body muscle movement data of a preset first area, human body muscle electromyographic signals of the preset first area, human body muscle movement data of a preset second area and human body muscle electromyographic signals of the preset second area; executing a data fusion process on the human body muscle movement data of the preset first area and the human body muscle electromyographic signal of the preset first area to obtain first area fusion data; executing the data fusion process on the human body muscle movement data of a preset second area and the human body muscle electromyographic signal of the preset second area to obtain second area fusion data; performing weighted summation on the first region initial feature data and the second region initial feature data to obtain target feature data; and based on the target feature data, identifying the muscle motion features. According to the method, objective quantitative recognition is performed on the muscle motion state through multi-modal data fusion, and the muscle motion feature recognition accuracy is improved.

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