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  1. 1

    Enhanced pose estimation for badminton players via improved YOLOv8-Pose with efficient local attention

    Wu, Y., Chen, Z., Zhang, H., Yang, Y., Yi, W.
    Published in Sensors (2025)
    “…With the rapid development of sports analytics and artificial intelligence, accurate human pose estimation in badminton is becoming increasingly important. …”
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  2. 2

    TT3D: table tennis 3D reconstruction

    Gossard, T., Ziegler, A., Zell, A.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
    “…We developed an automated camera calibration method capable of reliably tracking camera movements. Additionally, we adapted an existing 3D pose estimation model, which lacks depth motion capture, to accurately track player movements. …”
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  3. 3

    TemPose: A new skeleton-based transformer model designed for fine-grained motion recognition in badminton

    Ibh, M., Grasshof, S., Witzner, D., Madeleine, P.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2023)
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  4. 4

    A six-week force-velocity profile based training is effective to optimize jump and change of direction performance in elite table tennis players

    Conceição, F., Neves, J., Baena-Raya, A.
    Published in European Journal of Human Movement (2024)
    “…European Journal of Human Movement…”
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  5. 5

    Enhancing training precision: unveiling the barbell velocity`s role in tailoring the resistance load for the China badminton team

    Cui, J., Liu, J., Li, C.
    Published in Journal of Human Kinetics (2024)
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  6. 6

    Validity and reliability of reactive agility measurements of tennis performance

    Wisnu Nugroho, T., Alim, A., Fauzi, H. Y.
    Published in International Journal of Human Movement and Sports Sciences (2022)
    “…International Journal of Human Movement and Sports Sciences…”
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  7. 7

    Detection of similarities and differences within the same shot movement using artificial intelligence-based performance analysis: An example of a tennis service

    Jindo, T., Satonaka, Y., Wakamoto, R., Iida, M., Suzuki, H., Shiraishi, H., Mitsuhashi, D.
    Published in International Journal of Racket Sports Science (2023)
    “…Specifically, we investigate the accuracy of detecting similarities and differences within the same shot movement. The participants were two tennis players with more than ten years of tennis experience. …”
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  8. 8

    "You cannot be serious". The translation of sport science research to the tennis court

    Fernández-Fernández, J., Santos-Rosa, F. J.
    Published in European Journal of Human Movement (2023)
    “…European Journal of Human Movement…”
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  9. 9

    Importance of head movements in gaze tracking during table tennis forehand stroke

    Shinkai, R., Ando, S., Nonaka, Y., Yoshimura, Y., Kizuka, T., Ono, S.
    Published in Human Movement Science (2023)
    “…Human Movement Science…”
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  10. 10

    Comparison of the service and reception between winning and defeated high-level table tennis athletes

    Nikolakakis, A., Telopoulos, P., Lanzoni, I. M., Mavridis, G.
    Published in Journal of Human Sport & Exercise (2023)
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  11. 11

    Did Indonesian badminton succeed in the Tokyo Olympics?

    Supriyanto, A., Pangastuti, N. I., Lismadiana, Sawali, L., Sugiyanto, F.
    Published in International Journal of Human Movement and Sports Sciences (2022)
    “…International Journal of Human Movement and Sports Sciences…”
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  12. 12

    Temporal pattern attention for multivariate time series of tennis strokes classification

    Skublewska-Paszkowska, M., Powroznik, P.
    Published in Sensors (2023)
    “…Human Action Recognition is a challenging task used in many applications. …”
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  13. 13

    The effect of selected kinematic variables on the accuracy of topspin forehand among table tennis players

    Alkhawaldeh, I. M.
    Published in International Journal of Human Movement and Sports Sciences (2022)
    “…International Journal of Human Movement and Sports Sciences…”
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  14. 14

    Characterizing and removing artifacts using dual-layer EEG during table tennis

    Studnicki, A., Downey, R. J., Ferris, D. P.
    Published in Sensors (2022)
    “…These results advance technological approaches for recording high fidelity brain dynamics in human behaviors requiring whole body movement, which will be useful for brain science research. …”
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  15. 15

    Deep Spatial/temporal-level feature engineering for tennis-based action recognition

    Ning, B., Na, L.
    Published in Ergonomics (2021)
    “…The algorithm based on dynamic time warping takes into account the timing sequence information of movements and can solve the uncertainty of human movement at temporal level. …”
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  16. 16

    A survey on video action recognition in sports: Datasets, methods and applications

    Wu, F., Wang, Q., Bian, J., Xiong, H., Ding, N., Lu, F., Cheng, J., Dou, D.
    Published in arXiv e-print repository (2022)
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  17. 17

    Design of a tennis-specific agility test (TAT) for monitoring tennis players

    Jansen, M. G., Elferink-Gemser, M. T., Hoekstra, A. E., Faber, I. R., Huijgen, B. C.
    Published in Journal of Human Kinetics (2021)
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  18. 18

    Injuries resulting from practicing performance sports in table tennis and tennis - Review

    Mircea-Dan, M., Mereuta, C., Iordan, D.-A.
    Published in Annals of "Dunarea de Jos" University of Galati: Physical Education and Sport Management (2020)
    “…Performance sport as an area of human excellence requires, besides an over-average genetic endowment of motor skills, a huge workload of high intensity, which causes the wear of the body systems of the athletes, especially the osteo-musculo-articular. …”
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  19. 19

    Tennis home-training during first Italy lockdown COVID-19: A pilot study in young athletes

    Montorsi, M., Solmi, A., Vezzoli, A., De Donato, R., D'Angelo, G., Mrakic-Sposta, S.
    Published in International Journal of Human Movement and Sports Sciences (2021)
    “…International Journal of Human Movement and Sports Sciences…”
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  20. 20

    Action recognition based on dynamic mode decomposition

    Dong, S., Zhang, W., Wang, W., Zou, K.
    Published in Journal of Ambient Intelligence and Humanized Computing (2023)
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