The Role of Artificial Intelligence in Enhancing Sports Analytics and Training

Keywords: Artificial Intelligent,, sport,, VAR, heart rate Player Monitoring, Data visualization

Abstract

The impact of artificial intelligence (AI) is clear and highly influential in many areas of sports, helping to improve team and player results. Not only that, but artificial intelligence has been introduced into the areas of training and analysis of data and results, emulating and presenting potential hypothetical scenarios through the capabilities employed in artificial intelligence to enable accurate and effective training in emergency and critical situations. Another major benefit of using AI in sports is to analyze data and game stats to improve team performance in future games. Improved good decision making capability has made using artificial intelligence applications to gain huge popularity and attention in both academia and industry especially in sports industry. The main problem associated with using Artificial Intelligence applications is sports is that the usefulness of AI for many sports viewers, experts, coaches, team managers, and policy makers is not clear especially when they are not particularly familiar or expert in the field of AI. Similarly, for many, the reasons for employing AI and machine learning (ML) models for mathematical analysis in areas such as sports remain lackluster or unclear. In this research paper the authors present a review in the importance of using AI applications in sports for the people involved in the sports industry in general and especially for the Iraqi academic staff and those working in the sports field. The stake holders and the parties involved need to learn how to use the principles of AI knowledge, and conduct research to improve the performance of Iraqi teams and player.

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Author Biographies

Adil H. Mohammed, Department of Communication and Computer Engineering, Cihan University-Erbil, Kurdistan Region, Iraq.

Adil H. Mohammed is a lecturer at the Department of Communication and Computer Engineering, Cihan University-Erbil, Kurdistan Region, Iraq. His research interests communication engineering and computer science

Zhian J. Othman, Department of Physical Education and Sport sciences, Faculty of Education, Cihan University-Erbil, Kurdistan Region, Iraq

Zhian J. Othman is a lecturer at the Department of Physical Education and Sport sciences, Faculty of Education, Cihan University-Erbil, Kurdistan Region, Iraq. Her research interests are physical education and sport science.

Abdulqadir I. Abdullah, Department of Computer Engineering, College of Engineering, Knowledge University, Kurdistan Region, Iraq

Abdulqadir I. Abdullah is a lecturer at Department of Computer Engineering, College of Engineering, Knowledge University, Kurdistan Region, Iraq. His research interest is computer science.

References

A. Massoudi, S. Jalal and Jami, M. The role of artificial intelligence application in strategic marketing decision-making process. Cihan University-Erbil Journal of Humanities and Social Sciences, vol. 8 No.1, 34-39, 2024.

J. Smith and K. Johnson. Leveraging AI for personalized fitness and wellness: A roadmap to enhanced self-care. Journal of Healthcare Technology, vol. 12, no. 3, 2023.

X. Ding, Y. Chen, J. Li. Artificial intelligence-powered personalized health and fitness: A systematic review. Frontiers in Digital Health, vol. 4, p. 866421, 2022.

R. Kasha and K. Aditya. Applications of artificial intelligence in the game of football: The global perspective. International Refereed Social Sciences Journal, Research World, vol. 11, pp. 18-29, 2020.

A. Chung, A. Skinner, S. Hasty and E. Perrin. Tweeting to health: A novel mHealth intervention using fit bits and Twitter to improve physical activity and weight loss. Childhood Obesity, vol. 13, no. 5, pp. 283-292, 2017.

A. Canhoto and S. Arp. Exploring the factors that support adoption and sustained use of health and fitness wearables. Journal of Marketing Management, vol. 33, no. 1-2, pp. 32-60, 2017.

C. Schneider and F. Hanukah. Heart rate monitoring in team sport-a conceptual framework for contextualizing heart rate measures for training and recovery prescription. Frontiers in Physiology, vol. 9, p. 639, 2018.

C. Hashemi-Pour. Definition Data Visualization, Business Analytics. TechTarget, United States, 2023.

J. Reem, M. H. Shukur and S. Ismael. Route discovery development for multiple destination using artificial ant colony. Cihan University- Erbil Scientific Journal, vol. 6, no. 2, pp. 41-48, 2022.

M. Du and X. Yuan. A survey of competitive sports data visualization and visual analysis. Journal of Visualization. vol. 24, pp. 47-67, 2021.

M. Takoma. An AI Revolution in Sports Scoring Technology. Nippon.com, Tokyo, 2021.

Y. Falah, A. Jeeva, P. Manimaran and H. F. Hasan. A Performance Comparison of Difference Between Back-Propagation NN and Learning Vector Quantization Algorithm. In: 3rd International Conference on Communication Engineering and Computer Science (CIC-Cocos 2019), Cihan University-Erbil, Iraq.

P. Lucey. Artificial Intelligent in Sports, Sport Performance Analysis, Routledge, England, UK, 2021.

D. Araújo, M. Couceiro, L. Seifert, H. Sarmento and K. Davids. Artificial Intelligence in Sport Performance Analysis. 1st ed. Routledge, England, UK, 2021.

Published
2024-06-20
How to Cite
1.
Mohammed A, Othman Z, Abdullah A. The Role of Artificial Intelligence in Enhancing Sports Analytics and Training. cuesj [Internet]. 20Jun.2024 [cited 10Dec.2024];8(1):58-2. Available from: https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/1155
Section
Review Article