@inproceedings{20c512b29cc14b2b97668050d80bfc66,
title = "Evolution of the Beautiful Game: Analytics and Virtual Reality",
abstract = "Soccer (or Football) has become increasingly technical with the times, with the birth of new formations and new player positions. Technology use could grant teams an edge in reaching their maximum potential. The following research study intends to analyze the evolution of soccer with modern computer science technology like Machine Learning (ML) and Virtual Reality (VR). We establish a use-case to predict the most suitable position of a player concerning his initial skillset. This would allow coaches better to categorize a player through physiology and game awareness. On route to our predictions, we discuss various soccer simulations that players use for training and evaluate each simulation based on interaction fidelity. We develop the first-ever VR simulation that trains defenders with tactical drills focused on making interceptions. We also use different ML models to study the difference in predictions and how appropriate the ML model is for such a problem.",
keywords = "Fidelity, Machine Learning, Soccer, VR Simulations",
author = "Pranav Parekh and Oyeleke, {Richard O.}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; Human Computer Interaction thematic area of the 26th International Conference on Human-Computer Interaction, HCII 2024 ; Conference date: 29-06-2024 Through 04-07-2024",
year = "2024",
doi = "10.1007/978-3-031-60441-6_19",
language = "English",
isbn = "9783031604409",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "292--308",
editor = "Masaaki Kurosu and Ayako Hashizume",
booktitle = "Human-Computer Interaction - Thematic Area, HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings",
}