Review on Advancements in Artificial Intelligence and its Applications in Sports

Citation

Ooi, Jun Jie and Choo, Yit Hong and Yunus, Andi Prademon and Lim, Wei Hong and Khoo, Sui Yang (2025) Review on Advancements in Artificial Intelligence and its Applications in Sports. International Journal on Robotics, Automation and Sciences, 7 (1). pp. 58-63. ISSN 2682-860X

[img] Text
1309-Article Text-13275-3-10-20250516.pdf - Published Version
Restricted to Repository staff only

Download (391kB)

Abstract

The sport industry is being transformed by Artificial Intelligence (AI) in many ways. This paper seeks to discuss how AI has improved sports science, particularly in boosting the athletes’ performance and avoiding injuries, through various machine learning models like Extreme Gradient Boosting, Support Vector Machines, and Random Forest Regression. These AI tools are more effective than the traditional methods, as they predict the athletes’ performance results more accurately and managing their injuries more proactively. This paper also discusses the challenges of using AI in the sport industry, particularly in terms of data privacy and the reliability of the models. With the aid of AI, it is of no doubt that sport science will have a promising future.

Item Type: Article
Uncontrolled Keywords: Athlete, Predict, Artificial intelligence, Sports, Machine learning
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 26 Jun 2025 01:18
Last Modified: 26 Jun 2025 01:18
URII: http://shdl.mmu.edu.my/id/eprint/14066

Downloads

Downloads per month over past year

View ItemEdit (login required)