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![]() |
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 |
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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 |
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