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  1. 1

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  2. 2

    Application of virtual reality in biomechanics in sports

    Witte, K., Pastel, S., Merker, S., Buerger, D.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
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  3. 3

    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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  4. 4

    Skating efficiency and technique during roller speed skate using innovative piezoelectric smart socks: an exploratory study

    Bongiorno, G., Minisini, F. G., Biancuzzi, H., Dal Mas, F., Miceli, L.
    Published in Frontiers in Sports and Active Living (2025)
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  5. 5

    The effect of training with a multifunctional adaptive device on mastering elements performed on gymnastic rings: A comparative study of pre- and post-training routines

    Eshtayev, A., Boyboboyev, B., Tajibayev, S., Mamajonov, D., Suleymanov, M., Bekmirzayev, M.
    Published in Journal of Physical Education and Sport (2025)
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  6. 6

    Efficacy of an innovative virtual-reality training system for breathing techniques: a study of university gymnasts

    Fukami, M., Sato, Y., Endo, K., Mizushima, K., Nishikawa, D., Takayose, M., Koshizawa, R.
    Published in The Sport Psychologist (2025)
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  7. 7

    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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  8. 8

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

    Wang, F., Wang, Q., Chen, D.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
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  9. 9

    Kinematics analysis of techniques in artistic gymnastics using the ai scoring system -switch leap to ring position on balance beam

    Ishikawa, M., Noro, H., Hata, K., Yamazaki, Y., Lee, R. Y., Yanagiya, T.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
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  10. 10

    Artificial intelligence for objective assessment of acrobatic movements: Applying machine learning for identifying tumbling elements in cheer sports

    Wesely, S., Hofer, E., Curth, R., Paryani, S., Mills, N., Ueberschär, O., Westermayr, J.
    Published in Sensors (2025)
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  11. 11

    Enhancing athletic gymnastics training through the use of artificial intelligence

    Shcherbin D. V., Tretyakov A. A., Putilina V. Yu., Shilova M. V.
    Published in Theory and Practice of Physical Culture (2025)
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  12. 12

    A comparison of protocols for measuring forces during landing on competition mats in gymnastics

    Buxton, E. L., Hiley, M. J., Yeadon, M. R.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2024)
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  13. 13

    Technological advances in artistic gymnastics and the impact on its development

    Bortoleto, M. A. C., Schweizer, L.
    Published in Journal of Human Sport & Exercise (2024)
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  14. 14

    Einfluss eines Head-Mounted Displays auf die Bewegungsausführung von Grundlagenelementen am Schwebebalken (Influence of a head-mounted display on the execution of basic elements on the balance beam)

    Merker, S., Witte, K.
    Published in 15. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie": Zwischen Geistesakrobatik und praktischer Anwendung: Innovationen in der Sportinformatik und Sporttechnologie - Abstractband (2024)
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  15. 15

    Evaluating variability in rhythmic gymnastics: Analysis of split leap using the gold standard motion analysis system

    Coppola, S., Costa, C., Albano, D., Vastola, R.
    Published in Journal of Human Sport & Exercise (2025)
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  16. 16

    Inter- and intra-rater reliability of handheld dynamometry for lower extremity strength testing in pre-professional dancers

    Schaeffer, M., Daniels Abbruzzese, L., Tawa, Z., Schultz, K., Binney, J., Boyle, J., Bronner, S.
    Published in Journal of Dance Medicine & Science (2021)
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  17. 17

    Perceptions and attitudes toward the use of wearable technology in the dance studio environment

    Volkova, V., Ferber, R., Pasanen, K., Kenny, S.
    Published in Journal of Dance Medicine & Science (2023)
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  18. 18

    Development of an innovative virtual reality training system and its effect on mental training in gymnasts

    Sato, Y., Fukami, M., Endo, K., Mizushima, K., Nishikawa, D., Takayose, M., Koshizawa, R.
    Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)
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  19. 19

    Action quality assessment model using specialists' gaze location and kinematics data-focusing on evaluating figure skating jumps

    Hirosawa, S., Kato, T., Yamashita, T., Aoki, Y.
    Published in Sensors (2023)
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  20. 20

    Concerns about strenght tests in gymnastics: a systematic review

    Gasparetto, Z., Julião, A. L., Thuany, M., Martinez, P. F., de Mendonça Bacciotti, S., de Oliveira-Junior, S. A.
    Published in Science of Gymnastics Journal (2022)
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