Search

The Application and Optimization of Artificial Intelligence in Sports Data Analysis

Author(s)

Qian Chen*

Affiliation(s)

Physical Education Institute of Jimei University, Xiamen, Fujian, China *Corresponding Author.

Abstract

This paper reviews some applications of optimization in sports data analysis using the latest artificial intelligence technology and underlines its key role in such areas as sports performance analysis, tactical decision-making support, and sports event prediction. Based on the status quo analysis of AI technology applied to sports data processing, feature engineering, and model optimization, this study illustrates how AI can much improve the efficiency and accuracy of sports analysis in helping athletes optimize their performance and provide decision support for coaches. It also discusses the difficulties of data privacy and security, model generalization ability, and ethical and legal issues in AI over sports data analysis and points out that solving these problems is an important condition to promote the wide application of artificial intelligence in the field of sports. The result from the analysis shows that the future of AI in sports data analysis is promising, at the same time, it has to keep improving in technical optimization and regulatory framework.

Keywords

Artificial Intelligence; Sports Data Analysis; Sports Performance; Tactical Decision; Privacy Protection

References

[1]Dr.Gajendra.K.: Artificial Intelligence in Sports. International Journal For Multidisciplinary Research, doi:10.36948/ijfmr.2023.v05i04.5657 (2023). [2]Yu-Ching Lo, Lin, Kuo-Wei, Wu, Xiao-Qing.: The Application of Big Data and Artificial Intelligence in Sports Industry. The International Journal of Business & Management, doi:10.24940/theijbm/2023/v11/i2/bm2302-001 (2023). [3]Jiang, R.: Research on Visualization System of Competition Information under Computer Artificial Intelligence Technology. 2022 International Conference on Electronics and Devices, Computational Science (ICEDCS), pp. 82-86 (2022). doi:10.1109/ICEDCS57360.2022.00025 [4]Li, J., Li, M., Li, H.: Analysis of Developments and Hotspots of International Research on Sports AI. J. Intell. Fuzzy Syst., 43, pp. 4227-4241 (2022). doi:10.3233/jifs-220301 [5]Lei, L.: Summary of the Research Status of Artificial Intelligence in Sports Performance Analysis of Athletes. OALib, doi:10.4236/oalib.1110539 (2023). [6]Sun, Y., Li, Y.: A Deep Learning Method for Intelligent Analysis of Sports Training Postures. Computational Intelligence and Neuroscience, doi:10.1155/2022/2442606 (2022). [7]Min, Z.: Research on Functional Architecture of Sports Application System Based on AI Technology. 12779 International Conference, pp. 127791H-7 (2023). doi:10.1117/12.2689454 [8]Sperlich, B., Düking, P., Leppich, R., Holmberg, H.: Strengths, Weaknesses, Opportunities, and Threats Associated with the Application of Artificial Intelligence in Connection with Sport Research, Coaching, and Optimization of Athletic Performance. Frontiers in Sports and Active Living, doi:10.3389/fspor.2023.1258562 (2023). [9]Yan, W., Jiang, X., Liu, P.: A Review of Basketball Shooting Analysis Based on Artificial Intelligence. IEEE Access, doi:10.1109/ACCESS.2023.3304631 (2023). [10]Qiao, J.: The Application of Artificial Intelligence in Football Risk Prediction. Computational Intelligence and Neuroscience, doi:10.1155/2022/6996134 (2022). [11]Shen, Z.: Algorithm Optimization and Performance Improvement of Data Visualization Analysis Platform based on Artificial Intelligence. Frontiers in Computing and Intelligent Systems, doi:10.54097/fcis.v5i3.13836 (2023). [12]Knights, V., Kolak, M., Markovikj, G., Kljusurić, J.: Modeling and Optimization with Artificial Intelligence in Nutrition. Applied Sciences, doi:10.3390/app13137835 (2023). [13]Min, Z.: Research on Functional Architecture of Sports Application System Based on AI Technology. 12779 International Conference, pp. 127791H-7 (2023). doi:10.1117/12.2689454