Sports 3D Simulation Technology and Its Application in Minority Sports Popularization

Though motion posture correction technology based on the computer vision technology has been developed to decrease the loss from sports injury, there still exists some weakness. The joint movement of the same athlete varies in different sports program. Under high movement speed, the angle changes of joints are relevant to the motion effects, but it is difficult to measure the subtle changes with constraint models or methods. The traditional identification methods include the Factorization method and skeletal model method, both of which use the stable constraints model to a nalyze the motion parameters, so they cannot analyze motion parameters in the small-scale areas or effectively measure the subtle movement of the athlete motion posture parameters. To address these issues, this paper presents a new method to measure the 3D motion posture of the athletes. Through the simulation experiments, it has been proved that this method is able to measure the 3D motion parameters of athletes accurately and has a high application value. In recent years, it is quite often to see the athlete injury and sickness caused by improper motion postures during the sports process. With the constantly improvement of sports science and technology, not only the motion characteristics of athletes can be analyzed in an efficient way but also the skill of athletes can be improved and also unnecessary injuries can be avoided to the maximum extent. The analysis of human motion posture parameters mainly includes the theory of exercise physiology; computer image processing and etc. (15). The human body is made up of num erous tissues and organs, including 206 pieces of bones, and more than 600 muscles (16). These bones, as well as muscles can create different behavior information and then realize the regulation of human behavior. The comprehensive analysis of the behavior information generated from bones and muscles can be helpful to make the accurate judgment to the human body's motion posture parameters. Nowadays, the typical approaches for human motion posture parameter analysis are the body parameter identification method based on the main frame image; the body motion analysis method based on the modeling of body motion characteristics and the body behavior analysis method based on the algorithm of the skeleton model characteristics(17). The effective analysis of A thletes' motion parameters can improve their athletic skills and minimize the injuries. So searching for the effective method to accurately analyze the movement parameters of athletes and maximally avoid injury problem become the focus within the sports science field (18).