Research on Artificial Intelligence Technology in Accurate Recognition of Sports Training Actions

Abstract

In sports training, accurate identification of athletes' movements is helpful to judge whether athletes' actions are standard or not, thus providing precise movement data for training and improving athletes' levels. The convolutional neural network VGG model was constructed based on artificial intelligence technology to extract image features and accurately recognize actions automatically. Weizmann data set was used to train and verify the model. The results of this study showed that the motion recognition algorithm based on the convolutional neural network could achieve high recognition accuracy.