Welcome to Francis Academic Press

Frontiers in Sport Research, 2024, 6(3); doi: 10.25236/FSR.2024.060303.

Practice of Artificial Intelligence Technology Based on Big Data in Football Training and Physical Education

Author(s)

Jiarui Xing

Corresponding Author:
Jiarui Xing
Affiliation(s)

Graduate School, Jose Rizal University, Manda Luyong, Manila, 10048, Philippines

Abstract

Soccer is a sport in which the feet are mainly used to control the ball. Football today generally refers to modern football, which originated in China's "Cuju". It is an official event of the Olympic Games and a national sport that the public loves more. This paper aims to research and analyze the practice of football training and physical education through the football and related information obtained by big data artificial intelligence technology, so as to obtain practical conclusions. This paper gives a general introduction to the big data artificial intelligence technology, analyzes the relevant information of athletes in football training and actual physical education, and combines big data artificial intelligence technology with practical research in football training and physical education. Based on the experiments in this paper, it can be seen that the training intensity of the coaches arranged twice a week in the X football club was 85%. The coaches who arranged 3 times a week had a moderate to high exercise intensity of 65%. For coaches who arranged 4 or more times a week, the moderate exercise intensity was 50%. The results of this paper showed that the analysis of practical research in football training and physical education based on big data artificial intelligence technology was more abundant and scientific than the data obtained using traditional analysis methods.

Keywords

Football Training, Physical Education, Big Data, Artificial Intelligence

Cite This Paper

Jiarui Xing. Practice of Artificial Intelligence Technology Based on Big Data in Football Training and Physical Education. Frontiers in Sport Research (2024) Vol. 6, Issue 3: 18-28. https://doi.org/10.25236/FSR.2024.060303.

References

[1] Cui C, Xin E, Qu M, Jiang S. Fatigue and Abnormal State Detection by Using EMG Signal During Football Training. International Journal of Distributed Systems and Technologies, 2021, 12(2):13-23.

[2] Zavalishina S Y, Makurina O N, Mal G S, Tkacheva ES. Influence of Systematic Football Training on Adolescent Functional Characteristics. Biomedical and Pharmacology Journal, 2021, 14(2): 533-540.

[3] Zen G, Atar Z, Yurdakul H, Pehlivan B, Ko H. The effect of pre-season football training on hematological parameters of well-trained young male football players. Pedagogy of Physical Culture and Sports, 2020, 24(6):303-309.

[4] Uebersax J, Roth R, Bchle T, Faude O. Structure, intensity and player duels in under-13 football training in Switzerland. International Journal of Environmental Research and Public Health, 2020, 17(22):1-13.

[5] Aleksieva M, Denev S. Opportunities To Optimize The Football Training Process With The Means Of The Game Approach. Trakia Journal of Sciences, 2019, 17(Suppl.1): 891-895.

[6] Chen K, Zu Y, Cui Y. Design and implementation of bilingual digital reader based on artificial intelligence and big data technology. Journal of Computational Methods in Sciences and Engineering, 2020, 20(2):1-19.

[7] Bhat N A, Kaur R. Public Administration in the era of Illiberal Democracy, Artificial Intelligence and Big data. History Research Journal, 2020, 5(6):993-1003.

[8] Zsyw A, Jz B, Qz B. Artificial Intelligence for infectious disease Big Data Analytics. Infection, Disease & Health, 2019, 24(1):44-48.

[9] Li C, Cui J. Intelligent Sports Training System Based on Artificial Intelligence and Big Data. Mobile Information Systems, 2021, 2021(1):1-11.

[10] Zhang Z. Big data analysis with artificial intelligence technology based on machine learning algorithm. Journal of Intelligent and Fuzzy Systems, 2020, 39(5):1-8.

[11] Ward, Patrick, A, Ramsden, Sam, Coutts, et al. Positional Differences in Running And Nonrunning Activities During Elite American Football Training. Journal of Strength and Conditioning Research, 2018, 32(7):2072-2084.

[12] Zerf M, Ali B, Idriss M M. Levels of aerobic fitness as an unfair parameter in Algerian football training programs. Turkish Journal of Kinesiology, 2018, 4(4):113-117.

[13] Duda H, Khramov V. Creativity – Modern Requirement for Football Training. Human Sport Medicine, 2018, 18(5):104-108.

[14] Xiaohai L. Analysis on the application mode and effect of combination training method in college football training. International Journal for Engineering Modelling, 2018, 31(1):152-158.

[15] Wang, Jin, Cao, Liquan, Xie, Pengfei, et al. Recreational football training improved health-related physical fitness in 9-to 10-year-old boys. The Journal of sports medicine and physical fitness, 2018, 58(3):326-331.

[16] Selmi O, Khalifa W B, Zouaoui M, Sehli H, Bouassida A. Modeling in Football Training: The Effect of Two Methods of Training Based on Small Sided Games and Repeated Sprints on Mood and Physical Performance among Footballers. Advances in Physical Education, 2017, 07(3):354-365.

[17] Wang Y. Exploration on the Operation Status and Optimization Strategy of Networked Teaching of Physical Education Curriculum Based on AI Algorithm. International Journal of Information Technologies and Systems Approach, 2023, 16(3): 1-15.

[18] Jeong Y S, Park J H. Advanced big data analysis, artificial intelligence & communication systems. Journal of Information Processing Systems, 2019, 15(1):1-6.

[19] Hayashi S, Arai K. How Competition Law Should React in the Age of Big Data and Artificial Intelligence. The Antitrust Bulletin, 2019, 64(3):447-456.

[20] Sun D, Ma X, Liu K, Gao Li, Xu Z. Guest Editorial: Big Data Analytics and Artificial Intelligence (AI) Applications for Smart Transportation - Selected Papers from World Transportation Congress (WTC) 2018. IET Intelligent Transport Systems, 2019, 13(3):425-426.

[21] Zhang W, Kumar M. Artificial Intelligence in China. Big Data, 2019, 7(2):85-86.

[22] Ghosh A, Chakraborty D, Law A. Artificial Intelligence in Internet of Things. Caai Transactions on Intelligence Technology, 2018, 3(4):208-218.

[23] Bartlett M. Beyond Privacy: Protecting Data Interests in the Age of Artificial Intelligence. Law Technology and Humans, 2021, 3(1):96-108.