Design of an Automatic Difficulty Scoring System for Aerobics Based on Image Processing Technology

Abstract:
With the development of social economy and the increasing demand for quality of life, aerobic operation is an important part of popular sports activities, and its uniqueness and entertainment are getting more and more attention from the public. Aerobics has now become not only a fitness sport, but also it has been an important competition item. In order to improve the accuracy of aerobics scoring, this paper is based on image processing technology and action recognition algorithm, using the body sensor Kinect acquisition as a data collection module to process and analyze the images of aerobics athletes, and collect the athletes' body sensory information according to the images, and then transmit the collected image information to the data processing layer through the serial communication protocol. The data processing layer mainly uses the image processing technology and action recognition algorithm to extract the effective information from the image, and finally the segmented data is displayed through SMS/LCD and tips are given to the athlete scoring system on the upper computer interface. Experimental results show that:the algorithm can quickly and accurately perform sample training judgment as well as effective scoring, and the method can better solve the problem of subjective evaluation of athletes, which improves the accuracy and efficiency of automatic judging of aerobics difficulty.