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  1. 1

    Correlation between gluteus muscle activity and dynamic control of the knee joint in a single-leg landing task in badminton

    Hu, Z., Kim, Y., Dong, T., Meng, X., Dong, M., Kim, S.
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  2. 2

    Adjusted landing technique reduces the load on the achilles tendon in badminton players

    Kaldau, N. C., Nedergaard, N. J., Hölmich, P., Bencke, J.
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  3. 3

    The effects of sex and landing task on hip mechanics

    Weinhandl, J. T., Irmischer, B. S., Bennett, H. J.
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  4. 4

    Capacitive pressure sensing unit for racket sports

    Zheng, Y.-J., Wang, W.-C., Chen, R., Chiu, W.-H., Chen, Y.-Y., Lo, C.-Y.
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  5. 5

    Badminton overhead backhand and forehand smashes: a biomechanical analysis approach

    Rusdiana, A., Razali Bin Abdullah, M., Syahid, A. M., Haryono, T., Kurniawan, T.
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  6. 6

    Model'nye charakteristiki funkcional'nogo sostojanija vysokokvalificirovannych badmintonistov (Model characteristics of the functional state of highly qualified badminton player)

    Laptev, A. I., Barchukova, G. V.
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  7. 7

    Trajectory-based badminton shots detection

    Ju, N.-P., Yu, D.-R., Ik, T.-U., Peng, W.-C.
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  8. 8

    Development and verification of three-dimensional model of human foot for badminton insole analysis: A finite element study

    Ab Rashid, A. M., Osman, K., Abdul Kadir, M. R., Ramlee, M. H.
    Published in IEEE Xplore (2020)
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  9. 9

    Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton

    Dieu, O., Schnitzler, C., Llena, C., Potdevin, F.
    Published in Journal of Sports Sciences (2020)
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  10. 10

    Vision based automated badminton action recognition using the new local convolutional neural network extractor

    Azmina Rahmad, N., Amir As`ari, M., Fauzi Ibrahim, M., Jasmin Sufri, N. A., Rangasamy, K.
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  11. 11

    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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  12. 12

    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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  13. 13

    Visual analytics of multivariate event sequence data in racquet sports

    Wu, J., Guo, Z., Wang, Z., Xu, Q., Wu, Y.
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  14. 14

    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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  15. 15

    Accelerometer can accurately measure training load in badminton

    Lin, Y.-C., Liu, T.-H., Shiang, T.-Y.
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  16. 16

    Notational singles match analysis of male badminton players who participated in the African Badminton Championships

    Abdullahi, Y., Coetzee, B.
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  17. 17

    Determination of badminton players' displacement by video analysis: Reliability results of manual measurements

    Sarro, K. J., Chiminazzo, J. G. C., Cabello-Manrique, D., Misuta, M. S.
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  18. 18

    Quantitative analysis of hand movement in badminton

    Jacob, A., Zakaria, W. N. W., Tomari, M. R. B. M.
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  19. 19

    Influence of time-domain detection algorithm-based motion biological image analysis on selecting suitable receiving area

    Viciana, C., Jones, P.
    Published in Malaysian Sports Journal (2019)
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  20. 20

    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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