The effectiveness of the training process of skiers using computer vision methods
Ключевые слова:
skilled cross-country skiers, technical training, technique of simultaneous one-step skating, neural network, computer vision methods, scientific and methodological support, video analysis of sports movementsАннотация
Objective of the study was to experimentally validate the use of computer vision techniques to enhance the efficiency of ski racing training management.
Methods and structure of the study. The examination of video footage of athletes gliding on roller skis at their top speed was conducted using a specially designed software that incorporates a motion-detection system for athletes, powered by the Alpha Pose neural network.
Results and conclusions. The advanced software enables precise identification of ski racers' movements in training and competition settings, providing visual representation of angular features and velocities in joints. Additionally, it can generate videograms automatically. The data obtained can be used to assess the effectiveness of skiing techniques and detect technical flaws that may go unnoticed using conventional methods.
Библиографические ссылки
Novikova N.B., Ivanova I.G., Belyova A.N. Informativnost biomekhanicheskikh kriteriyev v otsenke sorevnovatelnoy effektivnosti lyzhnikov-gonshchikov vysokoy kvalifikatsii. Teoriya i praktika fizicheskoy kultury. 2024. No. 5. pp. 34-37.
Colyer S.L., Evans M., D.P. Cosker, Salo A. A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System. Sports Med Open. 2018. Vol. 4. No 4 (1). 24 p.
Ludwig K. Lienhart R., Muller S., Kreibich S. Optimierung der voll automatischenzeit kontinuierlichen Erkennung der Korperpose und Skiposition von Skispringern in Videoaufnahmen. BISp-Jahrbuch Forschungs förderung. 2021/22. pp. 361-364.
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