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Virtual reality and ANN-based three-dimensional tactical training model for football players

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Abstract

In sports such as football, baseball, basketball, and tennis, advanced technologies like artificial intelligence (AI), machine learning (ML), and virtual reality (VR) have opened up new opportunities for training simulation and data analysis. Recently, these technologies have been applied to football to better analyze team behavior and individual player behavior. The existing work, however, relies solely on VR technology or AI; they do not combine the two. In this study, however, we proposed a three-dimensional tactical training system for football players that applies both AI and VR. To meet the needs of football players' training and improve the efficiency of football players' tactical training and competition results, this paper aims to conduct an in-depth study on the application of AI and VR technologies in football players' tactical training. We started with the design of a thorough system architecture, which links the perceptual interface and model calculus subsystems together. We created realistic three-dimensional football tactical training scenarios using virtual reality technology as part of the perceptual interaction domain. Additionally, the physical characteristics of football mobilization are computed using the model calculus subsystem as a component of logic modules to boost training realism. We incorporated an artificial neural network (ANN) into the framework of the system, providing real-time error feedback and changes. This ANN constitutes the nucleus of a cutting-edge training methodology and integrates effortlessly into our architectural framework. We carefully assessed the ANN's performance as well as the performance of the proposed model as a whole to demonstrate how well it works for football players and coaches. The results of our proposed system are remarkable when compared to the currently suggested methods in the literature on this topic.

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  1. Wenzhou Business College, Wenzhou, 325000, Zhejiang, China

    Qiaoqiao Shao

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  1. Qiaoqiao Shao
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Shao, Q. Virtual reality and ANN-based three-dimensional tactical training model for football players. Soft Comput 28, 3633–3648 (2024). https://doi.org/10.1007/s00500-024-09634-x

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