Abstract
Before the rise of high technology, people rely on the naked eye to observe sports training skills, but with the development of AI technology, various high-definition camera capture machines have been developed that can record the movements of athletes, so that athletes can learn from the video. The shortcomings of the training methods (TM) are found in the images. This method can analyze and compare the athletes’ postures by scientifically quantitatively analyzing the sports characteristics of the athletes. Combined with the principles of human physiology, it proposes methods to improve the sports movements to assist the athletes’ training, so as to remove the traditional sports (TS). The training is purely based on experience. The sports training auxiliary analysis system constructed in this paper helps trainees adjust their training postures and movements, realize intuitive sports analysis and instruct, and enhance the level and grades of athletes.
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Xie, M. (2023). Intelligent Analysis Method of Sports Training Posture Based on Artificial Intelligence. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_50
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DOI: https://doi.org/10.1007/978-981-99-1428-9_50
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