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  1. 1

    Bridging the gap between research and practice: Inegrating biomechanical analysis in the development of landing mats in gymnastics

    Brtva, P., Canty, B., Straker, R., Irwin, G., Farana, R.
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  2. 2

    Application of virtual reality in biomechanics in sports

    Witte, K., Pastel, S., Merker, S., Buerger, D.
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  3. 3

    Can an inertial measurement unit be used as a field tool for acrobatic gymnasts training?

    Leite, I., Goethel, M., Gómez-Landero, L. A., Ávila-Carvalho, L., Vilas-Boas, J. P., Mochizuki, L., Conceição, F.
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  4. 4

    Phenomenological study of theoretical movement required for mastery of the Pak Salto technique on uneven bars

    Iseki, S., Nakamura, T., Kanaya, M., Shintake, Y.
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  5. 5

    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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  6. 6

    How to measure gymnast upper body relative strength on still rings with a pair of strain gauges

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

    Can mechanical load and physiological intensity during gymnastics training explain physical adaptations? an observational study

    Zhou, Y., Yang, L.
    Published in Frontiers in Physiology (2025)
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  9. 9

    Relationship between knee isokinetic muscle strength and countermovement jump height among elite male gymnasts

    Ma, Y., Zhou, Z., Jin, R., Wang, D., Chen, C.
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  10. 10

    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.
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  11. 11

    Assessment of core strength and stability control abilities for male gymnasts by using HUBER® 360

    Xue, L.
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  12. 12

    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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  13. 13

    The impact of landings and ground reaction forces in artistic gymnastics: A systematic review

    Silva, B., Leite, I., Gomes, C., Sousa, F., Ávila-Carvalho, L.
    Published in Science of Gymnastics Journal (2025)
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  14. 14

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

    Buxton, E. L., Hiley, M. J., Yeadon, M. R.
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  15. 15

    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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  16. 16

    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.
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  17. 17

    A system for automatic and fast gymnastics pose estimation and key frame identification

    Masmoudi, I., Link, J., Möck, S., Nissinen, P., Koelewijn, A.
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  18. 18

    Biomechanical guideline values to support gymnasts learning of handspring and double salto forward tucked on vault

    Naundorf, F., Lehmann, T., Wohlfahrt, L., Friedl, F.
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  19. 19

    Differences in muscle demand across take-off techniques in the back handspring step out in women's gymnastics

    Small, G. H., Neptune, R. R.
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  20. 20

    Quantification of body "shape" in Japanese elite gymnasts using homologous body model

    Soma, M., Kashiwagi, Y., Mizutori, H., Tachibana, Y., Funato, K.
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