Search Results - Journal of Human Movement Studies

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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

    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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  3. 3

    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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  4. 4

    Validity and reliability of reactive agility measurements of tennis performance

    Wisnu Nugroho, T., Alim, A., Fauzi, H. Y.
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  5. 5

    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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  6. 6

    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)
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  7. 7

    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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  8. 8

    Temporal pattern attention for multivariate time series of tennis strokes classification

    Skublewska-Paszkowska, M., Powroznik, P.
    Published in Sensors (2023)
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  9. 9

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

    Alkhawaldeh, I. M.
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  10. 10

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

    Studnicki, A., Downey, R. J., Ferris, D. P.
    Published in Sensors (2022)
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  11. 11

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

    Ning, B., Na, L.
    Published in Ergonomics (2021)
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  12. 12

    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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  13. 13

    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.
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  14. 14

    Action recognition based on dynamic mode decomposition

    Dong, S., Zhang, W., Wang, W., Zou, K.
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  15. 15

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

    Li, Y.
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  16. 16

    Propulsive strength training in wheelchair tennis to improve service response

    Salierno, M., Esposito, G., Izzo, R., Fattore, S., D'Isanto, T.
    Published in Journal of Human Sport & Exercise (2021)
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  17. 17

    Different electromyographic features of the gastrocnemius and the tibialis anterior muscles when comparing three types of service among young sportsmen and sportswomen

    Mourtzios, C., Arvanitidou, V., Athanailidis, I., Kostopoulos, N.
    Published in Journal of Human Sport & Exercise (2021)
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  18. 18

    Motion recognition technology of badminton players in sports video images

    Fang, L., Sun, M.
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  19. 19

    Development of tennis serve learning models based on multiple training

    Sitompul, S. R., Dlis, F., Hernawan, Sholihamia, A., Mahardika, G. P.
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  20. 20

    Comparison of electromyogram reaction time at the onset of motion in badminton players at different competitive levels

    Masu, Y., Otsuka, A.
    Published in Journal of Human Sport & Exercise (2022)
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