The Application of Computer-Assisted Teaching in the Scientific Training of Sports Activities

In view of the current sports training needs, the computer-aided teaching software Kinect is used as the image collector to collect moving images, and then the image is processed and feature extracted by the frame difference method and the Canny edge detection algorithm, and the horizontal line scanning algorithm is adopted. Complete the extraction of 25 different joint points of the human body. Experimental results show that the average correct recognition rate of the system for sports actions reaches 91.25%, and the correct evaluation rate reaches 95.9%, which can provide timely and effective feedback and evaluation, and play a certain role in sports training assistance.