Applications of artificial intelligence in the game of football the global perspective
Download as PPTX, PDF0 likes786 views
The document examines the applications of artificial intelligence (AI) in football, highlighting its potential to enhance team competitiveness and decision-making, although current implementations are in their infancy. It reviews existing literature on AI's role in sports, with findings suggesting AI is beneficial but underutilized in football. The study advocates for further exploration of AI applications that synergize multiple aspects of the game to optimize player selection and performance.
Applications of artificial intelligence in the game of football the global perspective
- 1. Applications of Artificial Intelligence in the Game of Football: The Global Perspective
- 2. Presented By S. K. M Shadekul Islam - 191-15-12836 2 Presented To Nasrin Akter Lecturer Department of CSE Daffodil International University
- 3. Table of Contents 3 I. Abstract II. Introduction a) Objectives b) Research Goal c) Research Questions III. Literature Review IV. Research Methods V. Main work of the paper VI. Results/Findings VII. Conclusion VIII. Motivation after study of this paper
- 4. 4 Abstract Football is a very dynamic and high paced game in which minutest detail may be the reason for a win or a loose, but the human eye sometimes fails to capture these small details. That’s where Artificial Intelligence (AI) comes into the picture. The study explores the unknown side of AI in the game of Football. The work is based on exploratory study on the applications of AI in the game of Football.
- 5. 5 Introduction Association football, more commonly known as simply football or soccer, is a team sport played with a spherical ball between two teams of 11 players. It is played by approximately 250 million players in over 200 countries and dependencies, making it the world's most popular sport. The game is played on a rectangular field called a pitch with a goal at each end. The object of the game is to score more goals than the opposition by moving the ball beyond the goal line into the opposing goal, usually within a time frame of 90 or more minutes.
- 6. 6 Literature Review A.C. Lapham & R.M. Bartlett (1995) found the important role that computer played in development of experimental and theoretical sports biomechanics. McCabe, A., & Trevathan, J. (2008) pointed about the use of artificial intelligence for prediction of sporting outcomes Novatchkov, H., & Baca, A (2013) have illustrated the potential of artificial intelligence (AI) techniques in sports on the example of weight training. Xu, B. (2012) have investigated in prediction of Sports Performance based on Genetic Algorithm and Artificial Neural Network. Rodriguez, J (2019) discussed the new environment released by the google brain team known as the Google Research Football which is based on reinforcement learning in which the agents learn to play the game by simply playing it. Kelly et.al (2017) investigated the recent FIFA announcement directing each team in the tournament could bring two computer tablets to collect data, assess decisions, and react to interactions on the field. Rematas et.al (2018) highlighted that using deep learning systems, researchers from the University of Washington, Facebook, and Google created a system that can take a YouTube soccer video and display it in three dimensions using Augmented Reality (AR) devices or 3D viewers using AI and Hologram technologies.
- 7. 7 Research Methods The work is based on exploratory study on the applications of AI in the game of Football. The study tried to explore the various ways in which AI is applied in present and can be applied in future in the game of football. The study has also explored the limitations of using AI or any kind of machine interference in this beautiful game. Finally, the study identified the scope of further study under this topic.
- 8. 8 Main work of the paper The current implementation of AI in football is at a very primary stage and football perceives to be area of a very high potential for the development of AI. Our study focuses on the current use of Artificial Intelligence in football which are mainly unilateral in nature i.e. focuses on only one side for e.g. refereeing, management, etc. Further studies may explore other many applications of AI in game of Football that we all love and cherish.
- 9. 9 Results/Findings Findings: Overall, the study found that with the help of AI and other varied technologies, teams are able to discover new potential and achieve goals which were thought to be impossible before especially in enhancing team competitiveness, decision making and better customer experience. The technology is still immature and needs significant improvement. Implications: The study implies AI has been highly beneficial to the game of Football as a whole, but at the same time AI has not been completely utilized as per its capabilities. Originality: The study talks about some unprecedented applications of AI in football, and also talks about some unfamiliar limitations of AI.
- 10. 10 Motivation after study of this paper Further studies may explore applications of AI in areas that combine two or more sides simultaneously such as the application of AI to predict the best possible playing 11 based on the physical as well as tactical attributes of the players and the fixture difficulty of a match. In this way, AI can be used to predict the most suitable lineup for the team and safeguarding the players against possible injuries at the same time based on the need of the match and the qualities of the opposition. Further studies may also involve other applications of technology and not just AI such as Big Data, Game Theory, etc for the benefit of the game as a whole.
- 11. Thanks! 11