USE OF INFORMATION TECHNOLOGIES IN GYMNASTICS TRAINING
;
digital technologies, gymnastics, training, video analysis, online platforms, virtual reality, motivation, sport and education.Abstrak
Information technology has revolutionized gymnastics training, transitioning the sport from a traditional discipline into a data-driven science. Technologies like motion capture, wearable sensors, and AI-based judging support systems allow coaches and athletes to analyze posture, joint angles, and tumbling metrics with microscopic precision, drastically reducing injury risk and accelerating skill acquisition.
Iqtiboslar
Diraco, G. et al. Review on human action recognition in smart living: sensing technology, multimodality, real-time processing, interoperability, and resource-constrained processing. Sensors23 (11), 5281 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhang, L. & Liu, G. Digital transformation in physical education: the application of intelligent technology in enhancing the effectiveness of sports teaching. J. Electr. Syst.20 (2), 1385–1391 (2024). [Google Scholar]
Cheng, J. & Wang, X. Artificial intelligence based on effectiveness of inverted classroom teaching of college sports. J. Intell. Fuzzy Syst.40 (2), 3755–3765 (2021). [Google Scholar]
Yu, H. & Mi, Y. Application model for innovative sports practice teaching in colleges using internet of things and artificial intelligence. Electronics12 (4), 874 (2023). [Google Scholar]
Geravesh, S. & Rupapara, V. Artificial neural networks for human activity recognition using sensor based dataset. Multimedia Tools Appl.82 (10), 14815–14835 (2023). [Google Scholar]
Surek, G. A. S. et al. Video-based human activity recognition using deep learning approaches. Sensors23 (14), 6384 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
https://www.harrysheader.co.uk/post/improve-your-gymnastics-with-tech
##submission.downloads##
Nashr qilingan
Nashr
Bo'lim
Iqtibos keltirish tartibi
