Biomechanical 3d analysis in figure skating training: the axel jump case

Authors

  • V.D. Sezganov Lesgaft National State University of Physical Education, Sport and Health
  • D.I. Matveenko Lesgaft National State University of Physical Education, Sport and Health
  • E.N. Tuzova Lesgaft National State University of Physical Education, Sport and Health
  • L.E. Babushkina Russian State Agrarian University - Moscow Timiryazev Agricultural Academy

Keywords:

figure skating, biomechanical 3D analysis method, Axel jump technique correction, pose estimation, moment of inertia, angular momentum.

Abstract

Objective of the study is to develop and pilot a technique for modeling jump technique in figure skaters based on the method of biomechanical 3D analysis and quantitative assessment of the athlete's body moment of inertia using accessible software tools.

Methods and structure of the study. Joint coordinates were extracted from video recordings of jumps using the automatic pose estimation system MediaPipe Pose. Mass-inertial characteristics of body segments were calculated using Zatsiorsky-Seluyanov anthropometric tables. Individual skeletal 3D models were constructed in the Blender environment. The study was conducted during the 2025-2026 competitive season with the participation of 16 athletes.

Results and conclusions. A pilot test of the biomechanical 3D analysis method was carried out. The method allows for a visual representation of the athlete's posture in the key phases of the jump, comparison with a reference model, and assessment of the potential change in angular velocity of rotation when correcting grouping errors based on the law of conservation of angular momentum.

References

Zatsiorsky V.M., Aruin A.S., Seluyanov V.N. Biomekhanika dvigatelnogo apparata cheloveka. Moscow: Fizkultura i sport. 1981. 143 p.

Lelyavskaya A.V., Ershov M.A., Petrov V.A. Applying digital decision in the technical and tactical training for figure skating. Kultura fizicheskaya i zdorove. 2024. No. 2(90). Pp. 238-243. DOI: 10.47438/1999-3455_2024_2_238.

Matveenko D.I., Tuzova E.N., Babushkina L.E. Effektivnost tekhnologii otbora sportivno odarennykh detey i komplektovaniya grupp sovershenstvovaniya sportivnogo masterstva po figurnomu kataniyu na konkakh. Teoriya i praktika fizicheskoy kultury. 2026. No. 2. Pp. 29-31.

Shapiro V.A., Sezganov V.D. Correction of multi-turn jumps in figure skating. Nauchnye issledovaniya i sovremennoe obrazovanie: sb. materialov IV Mezhdunar. nauch.-prakt. konf., Cheboksary. 2018. Pp. 160-167. DOI: 10.21661/r-473806.

Cabell L., Bateman E. Biomechanics in figure skating. The Science of Figure Skating. Ed. by J. Vescovi, J. VanHeest. London: Routledge, 2018. V. 2. DOI: 10.4324/9781315387741-2.

Haraguchi T., Taki Ts., Hasegawa Ju. Automated tracking of a figure skater by using PTZ cameras. Videometrics, Range Imaging, and Applications X. V. 7447. San Diego, CA, 2009. Pp. 74470F-8. DOI: 10.1117/12.825463.

Mikhailova D.A. Digital Education for Physical Culture and Sport: Views and Experience. European Proceedings of Social and Behavioural Sciences EpSBS. Vol. 103. St. Petersburg: European Publisher, 2021. Pp. 405-420. DOI: 10.15405/epsbs.2021.03.51.

Novikova I., Romanenko S., Kulikova O. et al. Computer Vision in Assessment of Complexity of Exercises of Figure Skating. IEEE USBEREIT. 2024. Pp. 63-66. DOI: 10.1109/USBEREIT61901.2024.10584006.

Published

01-09-2026

How to Cite

Sezganov, V. ., Matveenko, D. ., Tuzova, E. ., & Babushkina, L. . (2026). Biomechanical 3d analysis in figure skating training: the axel jump case. Theory and Practice of Physical Culture, (8), 37–40. Retrieved from http://tpfk.ru/index.php/TPPC/article/view/1750

Issue

Section

THEORY AND METHODS OF SPORTS