Football Players’ Physical Parameter Simulation Training Based on AI Intelligent Simulation

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Advances in Real-Time Intelligent Systems (RTIS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 950))

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Abstract

A training simulation system based on computer simulation AI intelligence technology is designed to improve football players’ training efficiency and performance. The system includes a perception interaction subsystem and a model calculation subsystem. The perception interaction subsystem builds a three-dimensional training scene through a virtual environment generator and then renders the scene in the model calculation subsystem’s view module. At the same time, the logic module calculates the decline in the athlete’s physical fitness. The calculation results are then passed back to the perception interaction subsystem’s effect generator to present the interactive effects of the athlete’s training. Tests show that the system can effectively perform athlete’s physical fitness decay calculations, has good load-bearing capacity, can enhance the physical training effect of football players and improve simulation efficiency. The application of this system can improve athletes’ competition performance.

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Correspondence to Lirong Yu .

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Zhang, Q., Yu, L. (2024). Football Players’ Physical Parameter Simulation Training Based on AI Intelligent Simulation. In: Pichappan, P., Rodriguez Jorge, R., Chung, YL. (eds) Advances in Real-Time Intelligent Systems. RTIS 2023. Lecture Notes in Networks and Systems, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-031-55848-1_18

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