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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

    Evaluating fabric-based IMU and blue trident system against optical motion capture for lower body kinematics in badminton specific movement

    Tan, K., McErlain-Naylor, S. A.
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  3. 3

    Design and development of a public AI referee assistance system based on Harmony OS Platform

    Zhao, J., Zhu, C., Leng, B., Qi, J.
    Published in Sensors (2025)
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  4. 4

    The grip distribution analysis between badminton smash and jump smash

    Kao, F., Pan, M. K., Yuh-Hong, C., Tsai, C. L.
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  5. 5

    Reaction time estimation based on recursive short-term principal component analysis for skeletal information of badminton players

    Sagawa, K., Shishido, H., Suita, M., Kitahara, I.
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  6. 6

    Automatic shuttlecock fall detection system in or out of a court in badminton games—challenges, problems, and solutions from a practical point of view

    Kopania, M., Nowisz, J., Przelaskowski, A.
    Published in Sensors (2022)
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  7. 7

    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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  8. 8

    Kinetic and kinematic determinants of shuttlecock speed in the forehand jump smash performed by elite male Malaysian badminton players

    Ramasamy, Y., Usman, J., Sundar, V., Towler, H., King, M.
    Published in Sports Biomechanics (2021)
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  9. 9

    Gender differences and relationships between upper extremity muscle strength, lower limb power and shuttle velocity in forehand smash and jump smash in badminton

    Ferreira, A., Górski, M., Gajewski, J.
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  10. 10

    Relationships between whole-body kinematics and badminton jump smash racket head speed

    Miller, R., Towler, H., McErlain-Naylor, S., King, M.
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  11. 11

    Learning-based tracking of fast moving objects

    Zita, A., Sroubek, F.
    Published in arXiv e-print repository (2020)
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  12. 12

    Model for practice badminton basic skills by using motion posture detection from video posture embedding and one-shot learning technique

    Promrit, N., Waijanya, S.
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  13. 13

    Recognition of badminton action using convolutional neural network

    Azmina binti Rahmad, N., Anis Jasmin binti Sufri, N., bin As'ari, M. A., binti Azaman, A.
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  14. 14

    Influence of the racket on the smash motion in badminton

    Kawano, T., Takehara, S., Kasamatsu, S., Suzuki, K.
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  15. 15

    Kinematics analysis of the upper extremity during the twohanded backhand drive volley for female tennis players

    Dowling, B., Owen, C. P., Laughlin, W. T., Fleisig, G. S.
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  16. 16

    A novel object detection technique for dynamic scene and static object

    Li, X., Chen, L., Yang, Z., Wang, H.
    Published in MATEC Web of Conferences (2016)
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  17. 17

    Computer Vision in Sports

    T. B. Moeslund, G. Thomas, A. Hilton
    Published 2014
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  18. 18

    Kinect-based badminton movement recognition and analysis system

    Ting, H. Y., Sim, K. S., Abas, F. S.
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  19. 19

    Measurement of badminton racket deflection during a stroke

    Kwan, M., Cheng, C. L., Tang, W. T., Rasmussen, J.
    Published in Sports Engineering (2010)
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