Search Results - Human Movement Science

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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)
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  2. 2

    TT3D: table tennis 3D reconstruction

    Gossard, T., Ziegler, A., Zell, A.
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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.
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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.
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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. “…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.
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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.
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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

    Did Indonesian badminton succeed in the Tokyo Olympics?

    Supriyanto, A., Pangastuti, N. I., Lismadiana, Sawali, L., Sugiyanto, F. “…International Journal of Human Movement and Sports Sciences…”
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  11. 11

    Temporal pattern attention for multivariate time series of tennis strokes classification

    Skublewska-Paszkowska, M., Powroznik, P.
    Published in Sensors (2023)
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  12. 12

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

    Alkhawaldeh, I. M. “…International Journal of Human Movement and Sports Sciences…”
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  13. 13

    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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  14. 14

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

    Ning, B., Na, L.
    Published in Ergonomics (2021)
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  15. 15

    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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  16. 16

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

    Mircea-Dan, M., Mereuta, C., Iordan, D.-A.
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  17. 17

    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. “…International Journal of Human Movement and Sports Sciences…”
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  18. 18

    Action recognition based on dynamic mode decomposition

    Dong, S., Zhang, W., Wang, W., Zou, K.
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  19. 19

    Construction of intelligent campus tennis players' body data monitoring and injury warning system based on data fusion

    Li, Y.
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  20. 20

    Evaluation of open-source and pre-trained deep convolutional neural networks suitable for player detection and motion analysis in squash

    Brumann, C., Kukuk, M., Reinsberger, C.
    Published in Sensors (2021)
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