Abstract
All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body in the image in a two-dimensional plane or three-dimensional space by establishing the mapping relationship between the human body features and the human body posture. This article demonstrates a golf-assisted training system to realize the transformation from an experience-based sports training method to a human motion analysis method, using artificial intelligence and big data. The swing posture parameters of the trainer and the coach are obtained using the posture estimation of a human body. Based on this information, an auxiliary training system is built. The two parameters of the joint angle trajectory and the posture similarity are used as auxiliary indicators to compare the trainers. The joint angle trajectory is analyzed, and the coach is guided based on the similarity of the posture.
Highlights
Modern training theory believes that the training process of athletes is a systematic project, which is a process of multidisciplinary integration of the “best” combination of factors. erefore, to grasp the athlete’s competitive career process [1], it is necessary to clearly understand the athlete’s growth process and the conditions under which the athlete’s training system [2,3,4] forms and evolves
For an athlete to engage in competitive training to reach the peak of individual competitive training through systematic training, it is a phased, continuous, and complete training process. is training process usually lasts more than ten years or even more. en, in this perennial system training, to improve the athletic performance of athletes at a particular stage, many people are involved and many disciplines are involved. e cooperation and operation of these factors constitute the athlete training system
Step 2. e swing posture data of the trainer and the coach are obtained through the target detection based on artificial intelligence and the human body posture estimation method based on the edge feature of the human body combined with image processing
Summary
Modern training theory believes that the training process of athletes is a systematic project, which is a process of multidisciplinary integration of the “best” combination of factors. erefore, to grasp the athlete’s competitive career process [1], it is necessary to clearly understand the athlete’s growth process and the conditions under which the athlete’s training system [2,3,4] forms and evolves. With the development of sports training practice and the deepening of people’s understanding of the connotation and extension of sports training, more and more people have gradually realized that modern sports training is a process of specialized training for athletes, which continuously improves their performance. It is a process in which competitive ability is its primary objective [10, 11]. Personnel include coaches, scientific research personnel, management personnel, and service personnel. e personnel regulate athletes’ sleeping style, diet and wearable kits, training methods, and training frequency. ey may be involved in the design and construction of facilities on which athletes complete training [12]. e competition in modern
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