Virtual Reality (VR) offers the possibility of creating engaging and intensive training programs to enhance sports performance. Football, a widely popular sport worldwide, attracts millions of spectators. However, the physical demands and risks inherent in the game necessitate the creation of a training environment immune to external influences, minimizing sports- related injuries while enhancing player immersion. Existing training methods are affected by external factors like, weather, injuries, and space limitations, hindering effectiveness and skill development. To overcome these issues, in this research, enhanced soccer training simulation using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality (PWGAN-TLCOA-ST-VRT) are proposed. This study begins by analyzing the fundamental features of computer-generated soccer training techniques and introduces the implementation of VRT in football training via PWGAN technology. The goal is to develop virtual systems resilient to external factors and provide theoretical support for the expansion of virtual football sports software. By overcoming constraints like, weather, player injuries, space limitations, and financial constraints, the proposed approach aims to enhance training effectiveness, teaching techniques, and football skill development. Software tools like Poser 8.0, 3Ds MAX and EON Studio are introduced for system development. Evaluation of the proposed PWGAN-TLCOA-ST-VRT method is examined using performance metrics including, precision, accuracy, F1-score, recall, specificity, error rate, computation time, and Receiver Operating Characteristic (ROC) analysis. The proposed PWGAN-TLCOA-ST-VRT technique achieves significant improvements compared to existing approaches like, Analysis of the application of virtual reality technology in football training (AI-ST-VRT), Cortex VR: Immersive analysis and training of cognitive executive functions of soccer players using VR and machine learning, Predict the value of football players using FIFA video game data and machine learning techniques (MLR- ST-VRT).

[1] Al-Asadi M. and Tasdemır S., “Predict the Value of Football Players Using FIFA Video Game Data and Machine Learning Techniques,” IEEE Access, vol. 10, pp. 22631-22645, 2022. DOI:10.1109/ACCESS.2022.3154767

[2] Babadi S. and Daneshmandi H., “Effects of Virtual Reality versus Conventional Balance Training on Balance of the Elderly,” Experimental Gerontology, vol. 153, pp. 111498, 2021. https://doi.org/10.1016/j.exger.2021.111498

[3] Chen H., “Application of Offensive and Defensive Linkage in a Virtual Football Game in the Internet of Things Decision-Making System,” Scientific Programming, vol. 2022, pp. 1-11, 2022. https://doi.org/10.1155/2022/7727915

[4] Cheng J., “Evaluation of Physical Education Teaching Based on Web Embedded System and Virtual Reality,” Microprocessors and Microsystems, vol. 83, pp. 103980, 2021. https://doi.org/10.1016/j.micpro.2021.103980

[5] Di X. and Lian H., “The Application of Computer “Virtual Simulation” Experimental Teaching in Basic Football Tactics,” in Proceedings of the International Conference on Machine Learning and Big Data Analytics for IOT Security and Privacy, Shanghai, pp. 514-522, 2020. https://doi.org/10.1007/978-3-030-62746-1_76

[6] Gulec U., Isler I., Doganay M., Gokcen M., Gozcu M., and Nazligul M., “Power‐VR: Interactive 3D Virtual Environment to Increase Motivation Levels of Powerlifters during Training Sessions,” Computer Animation and Virtual Worlds, vol. 34, no. 2, pp. e2045, 2023. https://doi.org/10.1002/cav.2045

[7] He X., “Application of Deep Learning in Video Target Tracking of Soccer Players,” Soft Computing, vol. 26, no. 20, pp. 10971-10979, 2022. https://doi.org/10.1007/s00500-022-07295-2

[8] Hossain K., Kamran S., Sarker P., Pavilionis P., Adhanom I., Murray N., and Tavakkoli A., “Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning,” in Proceedings of the 17th International Symposium on Visual Computing, San Diego, pp. 229-241, 2022. https://doi.org/10.1007/978-3-031-20716-7_18

[9] Hu Y., “Optimized Multiscale Deep Bidirectional Gated Recurrent Neural Network Fostered Practical Teaching of University Music Course,” Journal of Intelligent and Fuzzy Systems, vol. 46, no. 4, pp. 9577-9590, 2024. DOI:10.3233/JIFS- 236893

[10] Jagtap V. and Kulkarni P., “A Bayesian Network- Based Uncertainty Modeling to Analyze and Predict Next Optimal Moves in Given Game Scenario” The International Arab Journal of Information Technology, vol. 20, no. 2, pp. 199- 205, 2023. https://www.iajit.org/portal/images/year2023/No. 2/20867.pdf

[11] Kittel A., Larkin P., Elsworthy N., Lindsay R., and Spittle M., “Effectiveness of 360° Virtual Reality and Match Broadcast Video to Improve Decision- Making Skill,” Science and Medicine in Football, vol. 4, no. 4, pp. 255-262, 2020. https://doi.org/10.1080/24733938.2020.1754449

[12] Krupitzer C., Naber J., Stauffert J., Mayer J., and Spielmann J., “CortexVR: Immersive Analysis and Training of Cognitive Executive Functions of Soccer Players Using Virtual Reality and Machine Learning,” Frontiers in Psychology, vol. 13, pp. 1- 13, 2022. https://doi.org/10.3389/fpsyg.2022.754732

[13] Li H., Cui C., and Jiang S., “Strategy for Improving the Football Teaching Quality by AI and Metaverse-Empowered in Mobile Internet Environment,” Wireless Networks, pp. 1-10, 2022. https://doi.org/10.1007/s11276-022-03000-1

[14] Minh H., Sang-To T., Theraulaz G., Wahab M., and Cuong-Le T., “Termite Life Cycle Optimizer,” Expert Systems with Applications, vol. 213, pp. 119211, 2023. https://doi.org/10.1016/j.eswa.2022.119211

[15] Nambi G., Abdelbasset W., Elsayed S., Alrawaili S., Abodonya A., Saleh A., and Elnegamy T., “Comparative Effects of Isokinetic Training and Virtual Reality Training on Sports Performances in University Football Players with Chronic Low Back Pain-Randomized Controlled Study,” Evidence-Based Complementary and Alternative Medicine, vol. 2020, no. 1, pp. 1-10, 2020. DOI:10.1155/2020/2981273

[16] Paro M., Hersh D., and Bulsara K., “History of Virtual Reality and Augmented Reality in Neurosurgical Training,” World Neurosurgery, Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite ... 559 vol. 167, pp. 37-43, 2022. https://doi.org/10.1016/j.wneu.2022.08.042

[17] Pastel S., Petri K., Chen C., Cáceres A., Stirnatis M., Nübel C., Schlotter L., and Witte K., “Training in Virtual Reality Enables Learning of a Complex Sports Movement,” Virtual Reality, vol. 27, no. 2, pp. 523-540, 2023. https://doi.org/10.1007/s10055-022-00679-7

[18] Pirker J., 21st Century Sports: How Technologies will Change Sports in the Digital Age, Springer, 2020. https://doi.org/10.1007/978-3-030-50801- 2_16

[19] Rathi K., Somani P., Koul A., and Manu K., “Applications of Artificial Intelligence in the Game of Football: The Global Perspective,” International Refereed Social Sciences Journal, vol. 11, no. 2, pp. 18-29, 2020. DOI:10.18843/rwjasc/v11İ2/03

[20] Richlan F., Weiß M., Kastner P., and Braid J., “Virtual Training, Real Effects: A Systematic Literature Review on Sports Performance Enhancement through Interventions in Virtual Reality,” Frontiers in Psychology, vol. 14, pp. 1- 20, 2023. https://doi.org/10.3389/fpsyg.2023.1240790

[21] Tan Q. and Baek S., “Analysis and Research on the Timeliness of Virtual Reality Sports Actions in Football Scenes,” Wireless Communications and Mobile Computing, vol. 2021, no. 1, pp. 1-9, 2021. https://doi.org/10.1155/2021/8687378

[22] Thatcher B., Ivanov G., Szerovay M., and Mills G., “Virtual Reality Technology in Football Coaching: Barriers and Opportunities,” International Sport Coaching Journal, vol. 8, no. 2, pp. 234-243, 2020. https://doi.org/10.1123/iscj.2020-0011

[23] Tian C., Zhou Q., and Yang B., “Reform and Intelligent Innovation Path of College Football Teaching and Training Based on Mixed Teaching Mode,” Mobile Information Systems, vol. 2022, pp. 1-10, 2022. https://doi.org/10.1155/2022/8436138

[24] Tsai W., Su L., Ko T., Pan T., and Hu M., “Feasibility Study on Using AI and VR for Decision-Making Training of Basketball Players,” IEEE Transactions on Learning Technologies, vol. 14, no. 6, pp. 754-762, 2021. DOI:10.1109/TLT.2022.3145093

[25] Wang G. and Hu X., “Low-dose CT Denoising Using a Progressive Wasserstein Generative Adversarial Network,” Computers in Biology and Medicine, vol. 135, pp. 104625, 2021. https://doi.org/10.1016/j.compbiomed.2021.1046 25

[26] Wang Y., “Physical Education Teaching in Colleges and Universities Assisted by Virtual Reality Technology Based on Artificial Intelligence,” Mathematical Problems in Engineering, vol. 2021, pp. 1-11, 2021. DOI:10.1155/2021/5582716

[27] Won M., Ungu D., Matovu H., Treagust D., Tsai C., Park J., Mocerino M., and Tasker., “Diverse Approaches to Learning with Immersive Virtual Reality Identified from a Systematic Review,” Computers and Education, vol. 195, pp. 104701, 2023. https://doi.org/10.1016/j.compedu.2022.104701

[28] Wood G., Wright D., Harris D., Pal A., Franklin Z., and Vine S., “Testing the Construct Validity of a Soccer-Specific Virtual Reality Simulator Using Novice, Academy, and Professional Soccer Players,” Virtual Reality, vol. 25, pp. 43-51, 2021. https://doi.org/10.1007/s10055-020-00441-x

[29] Xu W., Alarab I., Lloyd-Buckingham C., Bowden S., Noer B., Charles F., and Prakoonwit S., “Re- Enacting Football Matches in VR using Virtual Agents’ Realistic Behaviours,” in Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, California, pp. 119-123, 2022. DOI:10.1109/AIVR56993.2022.00024

[30] Xue L., “Analysis of the Sports Teaching and Training System Based on the VR Technology,” in Proceedings of the Frontier Computing: Theory, Technologies and Applications, Singapore, pp. 1645-1650, 2020. https://doi.org/10.1007/978-981-15-3250-4_218

[31] Zhang Y. and Tsai S., “Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training,” Mobile Information Systems, vol. 2021, pp. 1-10, 2021. https://doi.org/10.1155/2021/6067678

[32] Zhao K. and Guo X., “Analysis of the Application of Virtual Reality Technology in Football Training,” Journal of Sensors, vol. 2022, pp. 1-8, 2022. https://doi.org/10.1155/2022/1339434