Football Playersâ€™ Physical Parameter Simulation Training Based on AI Intelligent Algorithm Simulation
Qianwei Zhang , Lirong Yu
Digital Signal Processing and Artificial Intelligence for Automatic Learning, Vol. 3, No. 4, 2024.
DOI: https://doi.org/10.6025/dspaial/2024/3/4/128-134
Link: https://www.dline.info/dspai/fulltext/v3n4/dspaiv3n4_2.pdf
Abstract:
To improve football playersâ€™ training efficiency and performance, a training simulation
system based on computer simulation AI intelligence technology is designed. 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, then renders the scene in the model
calculation subsystemâ€™s view module while the logic module calculates the athleteâ€™s
physical fitness decline. The calculation results are then passed back to the perception
interaction subsystemâ€™s effect generator to present the interactive effects of the
athleteâ€™s training. Tests show that the system can effectively perform athletesâ€™
physical fitness decay calculations, has good load-bearing capacity, enhances the
physical training effect of football players, and improves simulation efficiency. The
application of this system can improve athletesâ€™ competition performance.