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  1. 1

    Experimental exploration of artificial intelligence and ADAMS simulation technology in the teaching of vertical hoop upward throw in rhythmic gymnastics

    Ren, Q., Ma, Z.
    Published in PLOS ONE (2025)
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  2. 2

    Gender-specific predictors of vault performance in gymnastics: a machine learning approach

    Ðordevic, D., Vodicar, J., Kreft, R., Kolar, E., Paunovic, M., Velickovic, S., Marinšek, M.
    Published in Science of Gymnastics Journal (2025)
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  3. 3

    From beats to scores: a multi-modal framework for comprehensive figure skating assessment

    Wang, F., Wang, Q., Chen, D.
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  4. 4

    How to predict gymnastics´results - a simple method based on the 2022 European Championships

    Lecocq, T., Gouelle, A., Tordi, N.
    Published in Science of Gymnastics Journal (2025)
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  5. 5

    The impact of precompetition state on athletic performance among track and field athletes using machine learning

    Zhang, Y., Fu, P., Yu, Q., Niu, Q., Nie, D., Dou, X., Zhang, X.
    Published in Frontiers in Physiology (2025)
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  6. 6

    Development of a simple algorithm to detect big air jumps and jumps during skiing

    Kranzinger, S., Kranzinger, C., Alvarez, A. M., Stöggl, T.
    Published in PLOS ONE (2024)
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  7. 7

    Maximal forces for peak height and flight distance on vault in mens artistic gymnastics?

    Lehmann, T., Knoll, K., Naundorf, F., Seemann-Sinn, A.
    Published in Science of Gymnastics Journal (2024)
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  8. 8

    Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis

    Ab Rasid, A. M., Muazu Musa, R., Abdul Majeed, A. P., Musawi Maliki, A. B. H., Abdullah, M. R., Mohd Razmaan, M. A., Abu Osman, N. A.
    Published in PLOS ONE (2024)
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  9. 9

    Mechanical and mathematical modeling of a gymnastics springboard` stiffness

    Zanevskyy, I., Zanevska, L.
    Published in Sports Engineering (2023)
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  10. 10

    Relationship between body shape and performance in Japanese elite collegiate male swimmers: use of a 3-D homologous body model

    Soma, M., Kashiwagi, Y., Funato, K.
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  11. 11

    Finite element model of an impact on a palmar pad from a snowboard wrist protector

    Newton-Mann, C., Winwood, K., Driscoll, H., Hamilton, N., Allen, T.
    Published in Proceedings (2018)
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  12. 12

    A wearable system for jump detection in inline figure skating

    Panfili, A., Spanò, A., Cortesi, A.
    Published in Sensors (2022)
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  13. 13

    Mechanics of side-slipping in alpine skiing. Braking and skidded traversing

    Komissarov, S. S.
    Published in Sports Engineering (2021)
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  14. 14

    A mathematical model for the take-off in platform diving.

    Noth, N., Köthe, T.
    Published in Journal of Human Kinetics (2021)
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  15. 15

    FALCONS: FAst Learner-Grader for CONtorted Poses in Sports

    Nekoui, M., Cruz, F. O. T., Cheng, L.
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  16. 16

    Understanding the effects on balance for elite platform divers using machine learning

    Dogan, G., Layne, B., Ari, S., Glisson, M., Kurpiewski, E., Heijnen, M., Ricanek, K.
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  17. 17

    Connected skiing: Motion quality quantification in alpine skiing

    Snyder, C., Martinez, A., Jahnel, R., Roe, J., Stöggl, T.
    Published in Sensors (2021)
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  18. 18

    Developing a mathematical model to predict energy expenditure while bouncing on a trampoline

    Alexander, K., Clement, T., Draper, N.
    Published in European Journal of Sport Science (2021)
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  19. 19

    Progress forecasting mathematical model for elite sports: winter sports case study

    Ermakov, A. V., Myakinchenko, P. E.
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  20. 20

    Multi-technology correction based 3D human pose estimation for jump analysis in figure skating

    Tian, L., Cheng, X., Honda, M., Ikenaga, T.
    Published in Proceedings (2020)
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