Search Results - Human Movement

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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

    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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  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

    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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  5. 5

    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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  6. 6

    Action recognition based on dynamic mode decomposition

    Dong, S., Zhang, W., Wang, W., Zou, K.
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  7. 7

    Motion recognition technology of badminton players in sports video images

    Fang, L., Sun, M. “…Based on the actual video analysis and display, using the self-similar structure of the color of the human object as the basic feature, it is described by the geometric algebra method, and the human body in the video image is extracted using template convolution objects and design adaptive template functions to extract human movements from sports dance video images. …”
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  8. 8

    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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  9. 9

    A self-power flexible piezoelectric sensing system for badminton training monitoring

    Wang, C., Fan, Z., Feng, K.
    Published in IEICE Electronics Express (2021)
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  10. 10

    Effect of taking some of dietary supplements according to special forces exercises to develop some physical abilities, speed and accuracy smash shot for badminton young players

    Al-Selmi, A. D. H., Fenjan, F. H., Al-Rubaye, S. A. J.
    Published in Journal of Human Sport & Exercise (2019)
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  11. 11

    Physiological characteristics of Indonesian junior badminton players: Men's double category

    Apriantono, T., Herman, I., Winata, B., Ikhwan Hidayat, I., Fahmi Hasan, M., Dwi Juniarsyah, A., Indah Ihsani, S. “…International Journal of Human Movement and Sports Sciences…”
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  12. 12

    Automatic badminton action recognition using CNN with adaptive feature extraction on sensor data

    Wang, Y., Fang, W., Ma, J., Li, X., Zhong, A.
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  13. 13

    Automatic badminton action recognition using RGB-D sensor

    Ting, H. Y., Sim, K. S., Abas, F. S.
    Published in Advanced Materials Research (2014)
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  14. 14

    Profile of coordination motor abilities in elite judokas and badminton players compared to non-athletes

    Jaworski, J., Lech, G., Ambrozy, T., Zak, M.
    Published in Biomedical Human Kinetics (2020)
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  15. 15

    Badminton World Championship stress zones and performance factors: The key to success through log-linear analysis

    Valldecabres, R., Benito, A. M. D., Losada, J. L., Casal, C. A.
    Published in Journal of Human Sport & Exercise (2022)
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  16. 16

    Altered brain functional connectivity density in fast-ball sports athletes with early stage of motor training

    Yang, C., Luo, N., Liang. M., Zhou, S., Yu, Q., Zhang, J., Zhang, M., Guo, J., Wang, H., Yu, J., Cui, Q., Chen, H., Gao, Q.
    Published in Frontiers in Psychology (2020)
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  17. 17

    Does the presence of an opponent affect object projection accuracy in elite athletes? A study of the landing location of the short serve in elite badminton players

    Vial, S., Croft, J. L., Schroeder, R. T., Blazevich, A. J., Cochrane Wilkie, J.
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  18. 18

    Quantitative analysis of hand movement in badminton

    Jacob, A., Zakaria, W. N. W., Tomari, M. R. B. M. “…Badminton can be classified as a fast racket based sports. A human eyes alone is not capable of capturing all these movements. …”
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  19. 19

    A study on derivation method of motion feature points in sports motion analysis for racket matching

    Sekine, N., Takehara, S., Kawano, T., Suzuki, K. “…To accomplish this, standard swing trajectory variations are used to create an index from the viewpoint of human motion control. We begin by noting that human body data gained via motion capture are large in number because of the wide variety of equipment types used and due to the significant diversity of human body characteristics. …”
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  20. 20

    Racquet sports recognition using a hybrid clustering model learned from integrated wearable sensor

    Xia, K., Wang, H., Xu, M., Li, Z., He, S., Tang, Y.
    Published in Sensors (2020)
    “…Racquet sports can provide positive benefits for human healthcare. A reliable detection device that can effectively distinguish movement with similar sub-features is therefore needed. …”
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