Abstract
Computer vision has become a fast‐developing technology in the field of artificial intelligence, and its application fields are also expanding, thanks to the rapid development of deep learning. It will be of great practical value if it is combined with sports. When a traditional exercise assistance system is introduced into sports training, the athlete’s training information can be obtained by monitoring the exercise process through sensors and other equipment, which can assist the athlete in retrospectively analyzing the technical actions. However, the traditional system must be equipped with multiple sensor devices, and the exercise information provided must be accurate. This paper proposes a motion assistance evaluation system based on deep learning algorithms for human posture recognition. The system is divided into three sections: a standard motion database, auxiliary instruction, and overall evaluation. The standard motion database can be customized by the system user, and the auxiliary teaching system can be integrated. The user’s actions are compared to the standard actions and intuitively displayed to the trainers as data. The system’s overall evaluation component can recognize and display video files, giving trainers an intelligent training platform. Simulator tests are also available. It also demonstrates the efficacy of the algorithm used in this paper.
Highlights
With the rapid growth of China’s emerging sports [1,2,3] and health industry [4,5,6], more people are devoting their time to sports like golf and skiing
The main contributions of this paper are as follows: (1) This paper proposes a sports assisted evaluation system that uses deep learning algorithms to recognize human posture and provide an intelligent training platform for sports trainers
All of the experiments in this article were run on a deep learning server with two NVIDIA GTX 1080 TI graphics cards with 11 GB of memory
Summary
With the rapid growth of China’s emerging sports [1,2,3] and health industry [4,5,6], more people are devoting their time to sports like golf and skiing. Sports assist systems are frequently used by professional athletes in their daily training. Recreational sports are activities that people engage in during their free time or at designated locations in order to achieve a happy effect. This kind of activity has the characteristics of nonprofessional, leisure, and pleasure. Mass sports are sports activities commonly held in real life, such as people want to improve their physical fitness, resist diseases, train candidates for elite, and leisure time. Medical sports are in the treatment of some diseases and injuries, with the help of sports skills to help diagnose and to help improve the body function
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