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  1. 1

    Estimation of the knee joint with single-camera smartphone

    Russo, M., Ricciardi, C., Romano, M., Santoriello, V., Ponsiglione, A. M., Amato, F., Spadea, M. F.
    Published in Sensors (2026)
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  2. 2

    Research on kinematics and fractional order active disturbance rejection control of skating training robot

    Wang, B., Zhao, X., Gong, Y., Sun, L., Yang, Z.
    Published in Mechanical Sciences (2026)
    article
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  3. 3

    Brain-derived signals related to ball kicking movement in soccer and technologies employed: a systematic literature review with gap map

    Unsihuay, N., Clemente, F. M., Trybulski, R., Thapa, R. K., Faria, M. H., Casado, F. L., Zvietcovich, F., Vieira, L. H. P.
    Published in BMC Sports Science, Medicine and Rehabilitation (2026)
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  4. 4

    Assessment of basketball players` motion quality degradation by video-based virtual sensing and the AGCN-Mamba network

    Yang, Z., Zhao, Y.
    Published in BMC Sports Science, Medicine and Rehabilitation (2026)
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  5. 5

    Sprint performance adaptations through different warm up stretching approaches

    Praveen, A., Suresh, C., Sebastia-Amat, S., Kurnaz, M., Grygus, I., Kalmykova, Y., Sanjaykumar, S.
    Published in Journal of Human Sport & Exercise (2026)
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  6. 6

    Nordic hamstring exercise asymmetries do not influence change of direction abilities

    Gordon, G., Green, A.
    Published in Journal of Human Sport & Exercise (2026)
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  7. 7

    A bibliometric analysis of knowledge structure and research trends in swimmer's shoulder (2015-2025)

    Guo, C., Luo, M., Wang, B., Bin Azizuddin Khan, T. K.
    Published in Journal of Human Sport & Exercise (2026)
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  8. 8

    Asymmetry in sprinting: The myth of perfection and the reality of performance

    Girard, O.
    Published in Journal of Sport and Health Science (2025)
    article
    “…Asymmetry - differences in strength, flexibility, balance, and/or mechanics between body sides - is intrinsic to human movement. While marked and/or persistent asymmetries can disrupt biomechanics and increase (re)injury risk, minor bilateral differences are commonplace and often functional. …”
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  9. 9

    Sensor placement for jump classification in sub-elite figure skating

    Moessing, T., Jones, M., Klemm, E., Caminita, M., Ridge, S. T., Bruening, D.
    Published in SPORTSHCI'25: Proceedings of the First Annual Conference on Human-Computer Interaction and Sports (2025)
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  10. 10

    Markerless motion analysis in sports and exercise

    Bini, R. R., Colyer, S., Moura, F. A., Santiago, P., Vanicek, N.
    Published in Journal of Sports Sciences (2026)
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  11. 11

    Evolution of sport wearable global navigation satellite systems` receivers: A look at the Garmin Forerunner series

    Szot, T.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2026)
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  12. 12

    Multi-camera framing of dry slope snowboarding jumps

    Decorte, R., De Waele, R., Slembrouck, M., Verstockt, S.
    Published in 10th International Congress on Science and Skiing, January 28 - February 1, 2025, Val di Fiemme, Italy (2025)
    congress proceedings
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  13. 13

    Comparison of different pose estimation models for lower-body kinematics: A validation study

    Fukushima, T., Blauberger, P., Guedes Russomanno, T., Lames, M.
    Published in Scientific Journal of Sport and Performance (2026)
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  14. 14

    Physical-menstrual variables as predictors of women's rugby performance and well-being

    Liébana, E., Muñoz-Aloy, A., Gutiérrez, S., García-Guillot, S., Sanchís, C., Monleón, C.
    Published in European Journal of Human Movement (2025)
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  15. 15

    The application of deep learning human pose estimation in sport: a systematic review

    Aulton, C., Wakili, L., Strafford, B. W., Davids, K., Chiu, C.-Y.
    Published in Sports Medicine - Open (2025)
    article
    “…Future research should address these limitations while exploring innovative applications to maximize the impact of DL-based HPE in sports science. Key Points - The application of Deep Learning (DL) Human Pose Estimation (HPE) in sport can be categorised into four application domains: movement skill analysis, action recognition, augmented coaching tools, and officiating support…”
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  16. 16

    Applying team strategies for dynamic coordination: A comparative study of expertise using 3-on-3 basketball

    Ichikawa, J., Yamada, M., Iwaihara, Y., Ichinose, G., Fujii, K.
    Published in PLOS ONE (2026)
    article
    “…Humans working as a team can achieve higher performance. …”
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  17. 17

    Biomechanical analysis of the breaststroke kick in young swimmers using wearable inertial sensors: an exploratory pilot study

    Brus, D.-I., Enoiu, R. S., Catana, D.-I.
    Published in Sensors (2026)
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  18. 18

    Validation of the transformer-based monocular system (Capture4D): A real-time kinematic analysis in coaching/teaching tennis

    Zhao, Y., Wang, S., Gao, Z., Wu, H., Cui, Y., Liu, Y.
    Published in Sensors (2026)
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  19. 19

    Methodological approaches in testing maximal lactate accumulation rate - vLamax: A systematic review

    Langley, J., Haase, R., Nitzsche, N., Porter, M.
    Published in Journal of Science and Cycling (2025)
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  20. 20

    Horse gait analysis using wearable inertial sensors and machine learning

    Rana, M., Mittal, V.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
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