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  1. 1

    Comparison of olympic-style weightlifting performances of elite athletes: scaling models account for body mass

    Huebner, M., Meltzer, D. E., Bjarnason, Á., Perperoglou, A.
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  2. 2

    Spielanalyse im American Football (American football game analysis)

    Anderson, P.
    Published in Spielanalyse im Sportspiel (2022)
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  3. 3

    Early pre-season changes in the countermovement jump outcome and strategy variables of english super league rugby players

    McMahon, J. J., Comfort, P., Jones, P. A., Cuthbert, M., Badby, A. J.
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  4. 4

    Pilot study: optical tracking of barbell kinematics for low-cost strength training performance monitoring

    Achermann, B., Oberhofer, K., Gross, M., Lorenzetti, S.
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  5. 5

    Application of deep learning methods for detection and tracking of players

    Ivasic-Kos, M., Host, K., Pobar, M.
    Published 2022
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  6. 6

    Artificial neural network can improve the accuracy of a markerless skeletal model in L5/S1 position estimation during symmetric lifting

    Liu, P.-L., Chang, C.-C., Kao, H.-Y., Hsiao, C.-Y.
    Published in Journal of Biomechanics (2022)
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  7. 7

    A computer-vision method to estimate joint angles and L5/S1 moments during lifting tasks through a single camera

    Wang, H., Xie, Z., Lu, L., Li, L., Xu, X.
    Published in Journal of Biomechanics (2021)
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  8. 8

    Neuer Service der RTK: DHB-TrainercenterTV - Das digitale Handwerkszeug für alle Trainer (New service of the RTK: DHB-TrainercenterTV - The digital tool for all trainers )

    Beppler, J.
    Published in Handballtraining (2021)
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  9. 9

    The development and evaluation of a training monitoring system for amateur rugby union.

    Griffin, A., Kenny, I. C., Comyns, T. M., Lyons, M.
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  10. 10

    The use of apps in athletic training, part I: applications for sideline management

    Brown, C. D., Keeley, K., Potteiger, K.
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  11. 11

    Quantifying throwing load in handball: a method for measuring the number of throws

    Skejø, S. D., Liaghat, B., Jakobsen, C. C., Møller, M., Bencke, J., Papi, G., Kunwald, N. P., Sorensen, H.
    Published in Sports Biomechanics (2021)
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  12. 12

    Faktory uspešnosti sorevnovatel'noj dejatel'nosti sportsmenov v regbi-7 na osnove dannych videoanaliza (analiticeskij obzor issledovanij) (Success factors in the competitive activity of athletes in rugby-7 based on video analysis data (analytical review of research))

    Ksenofontova, E. A., Giyyar, M. V.
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  13. 13

    Innovacionnaja tehnologija komp'juternogo testirovanija psihomotoriki v sportivnyh igrah (Innovative technology in computer testing of psycho-motor in team sports)

    Lisenchuk, G., Tyshchenko, V.
    Published in Science in Olympic Sport (2019)
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  14. 14

    Wer nicht fragt, der nicht gewinnt. Vereins- und mannschaftsinterne Anpassungen auf der Basis einer Saisonauswertung per individuellem Online-Fragebogen (If you don't ask, you don't win. Club- and team-internal adjustments on the basis of a season evaluation with individual online questionnaire)

    Grgic, M.
    Published in Handballtraining (2021)
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  15. 15

    Motion sensors-based machine learning approach for the identification of anterior cruciate ligament gait patterns in on-the-field activities in rugby players

    Tedesco, S., Crowe, C., Ryan, A., Sica, M., Scheurer, S., Clifford, A. M., Brown, K. N., O`Flynn, B.
    Published in Sensors (2020)
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  16. 16

    Fangdetektion im American Football mit Wearables und AI (Catch detection in American football with wearables and AI)

    Hollaus, B., Stabinger, S., Eisenbraun, J.
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  17. 17

    Performance prediction and evaluation in female handball players using machine learning models

    Oytun, M., Tinazci, C., Sekeroglu, B., Acikada, C., Yavuz, H. U.
    Published in IEEE Access (2020)
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  18. 18

    A graded concept of an information model for evaluating performance in team handball

    Schwenkreis, F.
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  19. 19

    Active player detection in handball videos using optical flow and STIPs based measures

    Ivasic-Kos, M., Pobar, M., Gonzàlez, J.
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  20. 20

    Mask R-CNN and optical flow based method for detection and marking of handball actions

    Pobar, M., Ivasic-Kos, M.
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