Intelligent Recognition Method of Difficult Movements in Competitive Martial Arts Routine
In order to improve the accuracy of intelligent recognition of difficult movements in competitive martial arts routines,the directed space-time skeleton diagram of athletes is established based on the original skeleton data of athletes'movements in competitive martial arts routines.In the spatiotemporal graph convolutional neural network,the graph attention mechanism and channel attention mechanism are introduced to establish the spatiotemporal graph convolutional neural network based on attention.The spatial and temporal framework of athletes is input into the network,and the intelligent recognition result of the difficulty action is output.The research results show that the proposed recognition method can accurately extract the features of difficult movements,and the recognition accuracy of difficult movements in competitive martial arts routines is high,which is helpful for athletes to identify and improve difficult movements more accurately in training.
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