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  1. 1

    Changes in stroke performance in 13-14 year old swimmers over an annual training cycle

    Malinovsky, M. S., Arishin, A. V., Pogrebnoy, A. I.
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  2. 2

    Determining validity and reliability of an in-field performance analysis system for swimming

    Born, D.-P., Polach, M., Staunton, C.
    Published in Sensors (2024)
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  3. 3

    Understanding the kinematic profile of two underwater pullout breaststroke techniques

    Santos, C. C., Ferreira, F. A., Soares, S., Fernandes, R. J., Vilas-Boas, J. P., Costa, M. J.
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  4. 4

    Kinematic characteristics of athletes obtaining high take-off velocity at the start phase

    Ozeki, K., Suito, H., Sakurai, S.
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  5. 5

    Improving front crawl with continuous short-delayed video feedback

    Scurati, R., Signorini, G., Mariucci, L., Formenti, D., Invernizzi, P. L.
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  6. 6

    A multi-limb coordination approach to front crawl

    Shemeikka, J., Ruokanen, A., Keskinen, K. L.
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  7. 7

    The effects of lower extremity muscle strength characteristics on grab and track start performance in young competitive swimmers

    Argun, B., Demirci, N., Umutlu, G.
    Published in Isokinetics and Exercise Science (2023)
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  8. 8

    Effet bénéfique d`une combinaison de feedback, d`observation et d`imagerie motrice sur la performance du départ plongé en natation (Beneficial effect of a combination of feedback, video observation and motor imagery on the performance of the swimming dive start)

    Robin, N., Carien, R., Dominique, L., Hatchi, V., Hue, O.
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  9. 9

    Welche (neuen) Tools bietet der Markt für den Einsatz im Sprinttraining? (What (new) tools does the market offer for use in sprint training?)

    Paschke, D.
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  10. 10

    Verwendung von künstlicher Intelligenz und Computer Vision bei der Bewegungsanalyse von Hochleistungskanuten/innen - die nächste Ausbaustufe (Use of artificial intelligence and computer vision in motion analysis of high performance canoeists - the next stage of advancement)

    Schuh, M., Mayer, J., Endres, T.
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  11. 11

    Automatische Technikanalyse im Kanu-Rennsport (Automatic technique analysis in canoe racing)

    Matthes, D., Frenzel, P., Englert, M., Marek, J., Fuchs, M.
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  12. 12

    FES TriaLog Schwimmsensor (FES TriaLog Swim Sensor)

    Hoffmeister, T., Ehmen, H.
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  13. 13

    Coaching practices to develop underwater fly kick performance in swimming training

    Thompson, I. M., Warner, M., Hudson, D., Banks, J., Logan, O.
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  14. 14

    Detecting swimmers in unconstrained videos with few training data

    Jacquelin, N., Vuillemot, R., Duffner, S.
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  15. 15

    Assessment of Young Swimmers` Technique with Tec Pa Tool

    Papadimitriou, K., Papadimitriou, N., Gourgoulis, V., Barkoukis, V., Loupos, D.
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  16. 16

    Study of talented young male swimmers - scientific approach to the kinematic and physiological predictors of 400-m front crawl race

    Sokolowski, K., Strzala, M., Zeglen, M.
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  17. 17

    Is a head-worn inertial sensor a valid tool to monitor swimming?

    Shell, S. J., Clark, B., Broatch, J. R., Slattery, K., Halson, S. L:, Coutts, A. J.
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  18. 18

    Accelerometery vs. video-derived stroke parameters in high-level swimmers

    Musson, C., Kramer, M.
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  19. 19

    Comparison among different inertial-based algorithms for the automatic detection of temporal events in sprint tests: a preliminary study on elite athletes with intellectual impairm...

    Caporaso, T., Palomba, A., Grazioso, S., Megna, A., Panariello, D., Perez, D., Marchettoni, P., di Gironimo, G., Lanzotti, A.
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  20. 20

    The role of the biomechanics analyst in swimming training and competition analysis

    Barbosa, T. M., Barbosa, A. C., Simbaña Escobar, D., Mullen, G. J., Cossor, J. M., Hodierne, R., Arellano, R., Mason, B. R.
    Published in Sports Biomechanics (2021)
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