This work is licensed under the Creative Commons Attribution 4.0 International License.
Kasper, K. (2019). Sports training principles. Current sports medicine reports, 18(4), 95-96.Search in Google Scholar
Urinbayevna, U. Z. (2022). Issues of improving sports training. INTERNATIONAL JOURNAL OF SOCIAL SCIENCE & INTERDISCIPLINARY RESEARCH ISSN: 2277-3630 Impact factor: 7.429, 11(09), 167-168.Search in Google Scholar
Soltani, P., & Morice, A. H. (2020). Augmented reality tools for sports education and training. Computers & Education, 155, 103923.Search in Google Scholar
Liang, H. (2021). Evaluation of fitness state of sports training based on self-organizing neural network. Neural Computing and Applications, 33, 3953-3965.Search in Google Scholar
Cardenas Hernandez, F. P., Schneider, J., Di Mitri, D., Jivet, I., & Drachsler, H. (2024). Beyond hard workout: A multimodal framework for personalised running training with immersive technologies. British Journal of Educational Technology.Search in Google Scholar
Portaz, M., & Santos, O. C. (2022). Towards personalised learning of psychomotor skills with data mining. In Proceedings of the 15th International Conference on Educational Data Mining (p. 816).Search in Google Scholar
Wei, S., Huang, P., Li, R., Liu, Z., & Zou, Y. (2021). Exploring the application of artificial intelligence in sports training: a case study approach. Complexity, 2021(1), 4658937.Search in Google Scholar
Ma, B., Nie, S., Ji, M., & Song, J. (2020). Research and Analysis of Sports Training Real‐Time Monitoring System Based on Mobile Artificial Intelligence Terminal. Wireless communications and mobile computing, 2020(1), 8879616.Search in Google Scholar
Huang, Y. (2021, November). The Application of Artificial Intelligence Technology in the On-site Decision System of Sports Competitions. In 2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR) (pp. 106-109). IEEE.Search in Google Scholar
Zhang, X., Shan, G., Wang, Y., Wan, B., & Li, H. (2019). Wearables, biomechanical feedback, and human motor-skills’ learning & optimization. Applied Sciences, 9(2), 226.Search in Google Scholar
Kautz, T., Groh, B. H., Hannink, J., Jensen, U., Strubberg, H., & Eskofier, B. M. (2017). Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports. Data Mining and Knowledge Discovery, 31, 1678-1705.Search in Google Scholar
Hülsmann, F., Göpfert, J. P., Hammer, B., Kopp, S., & Botsch, M. (2018). Classification of motor errors to provide real-time feedback for sports coaching in virtual reality—A case study in squats and Tai Chi pushes. Computers & Graphics, 76, 47-59.Search in Google Scholar
Zhang, C., Li, M., Wang, H., & Wang, N. (2021). Auxiliary decision support model of sports training based on association rules. Mobile Information Systems, 2021(1), 7233800.Search in Google Scholar
Lee, H. S., & Lee, J. (2021). Applying artificial intelligence in physical education and future perspectives. Sustainability, 13(1), 351.Search in Google Scholar
Wang, T., & Park, J. (2021). Design and implementation of intelligent sports training system for college students’ mental health education. Frontiers in psychology, 12, 634978.Search in Google Scholar
Liu, J., Wang, L., & Zhou, H. (2021). The application of human–computer interaction technology fused with artificial intelligence in sports moving target detection education for college athlete. Frontiers in Psychology, 12, 677590.Search in Google Scholar
Li, B., Wang, X., & Yao, J. (2021). Application algorithms for basketball training based on big data and Internet of things. Mobile Information Systems, 2021(1), 9934363.Search in Google Scholar
Wang, J., Qiu, K., Peng, H., Fu, J., & Zhu, J. (2019, October). Ai coach: Deep human pose estimation and analysis for personalized athletic training assistance. In Proceedings of the 27th ACM international conference on multimedia (pp. 374-382).Search in Google Scholar