2025 TSMA

83 Taiwan Sporting Goods Manufacturers Association or changes in training plans. Secondly, AI virtual coaching systems utilize computer vision technology and 3D cameras to capture and analyze athletes’ movements in real-time. These systems can identify and correct athletes’ movements just like a real coach, helping athletes maintain proper posture and reduce the risk of injuries caused by improper movements. The application of AI in injury prevention not only enhances athlete safety but also improves the efficiency of training and competitions. As technology continues to advance, AI will play an increasingly important role in the sports field, providing more comprehensive protection and support for athletes. AI in team management The application of AI in team management provides coaches and management with powerful tools, enhancing the overall operational efficiency of the team. Firstly, AI plays a crucial role in player recruitment and evaluation. Through data analysis, AI can analyze players’ match data, fitness test results, and past performances, helping teams find the most suitable players. Additionally, AI can assist in the daily management of the team. Through automated systems, AI can handle administrative tasks such as scheduling, training plans, and logistics management, reducing human errors and improving work efficiency. For example, AI systems can automatically adjust training plans and rest periods based on players’ training and match data, ensuring that players participate in matches in their best condition. Overall, the application of AI in team management not only improves the operational efficiency of the team but also provides comprehensive support in player recruitment and daily management. AI in sports refereeing The application of AI in sports refereeing has significantly enhanced the fairness and accuracy of competitions. Firstly, AI technology can analyze critical moments in real-time, providing precise judgments. For example, in football matches, the AI-assisted semi-automated offside technology (SAOT) uses multi-angle cameras and computer vision technology to quickly generate 3D images of players and the ball, helping referees make accurate offside decisions. This not only reduces human error but also speeds up the decision-making process, avoiding interruptions in the game. Secondly, AI is widely used in sports like gymnastics. Through

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