Individualization of technical training of finswimmers based on the synergy of video technologies and language models
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Tula State Lev Tolstoy Pedagogical University (Tula).
Email: pasith@mail.ru
Abstract
Objective of the study is to assess the effectiveness of the individualization of technical training of finswimmers based on the synergy of video technologies and language models. Methods and structure of the study. The testing was conducted in 2024–2025 on the basis of the State Institution of Supplementary Education of the Tula Region 'Regional Comprehensive Sports School of the Olympic Reserve' of the city of Tula. The study included 39 athletes of Category I and Candidate for Master of Sport qualification with at least six years of training experience. The experimental group (EG) included 19 finswimmers, the control group (CG) 20 people. In the experimental group, a regulated video protocol was applied. Filming was performed from lateral and underwater projections at a frequency of no less than 60 frames per second under identical conditions of a control segment. On the basis of video material, using a key-point extraction module, indicators were calculated reflecting the effectiveness of the athlete's swimming technique in the monofin. Results and conclusions. The results showed that in athletes of the experimental group, the improvement of time over the 50 and 100 m distances of swimming by the main method in the monofin was accompanied by a more pronounced increase in stroke cycle length while maintaining competitive frequency, an increase in the stability of the angle in the ankle joint within the working range, and a decrease in the variability of the amplitude of the undulating movement. The obtained data confirm that the synergy of video technologies and language models increases the precision of technical correction, the regularity of recording individual benchmarks and the stability of the formed technical skill while maintaining the leading role of the coach.
Keywords
finswimming, technical training, individualization, video analysis, large language models, biomechanics
References
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Журнал "THEORY AND PRACTICE