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  1. 1

    Blockchain-enabled HMM model for sports performance prediction

    Cao, P., Zhu, G., Zhang, Q., Wang, F., Liu, Y., Mo, R.
    Published in IEEE Access (2021)
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  2. 2

    Volleyball skill assessment using a single wearable micro inertial measurement unit at wrist

    Wang, Y., Zhao, Y., Chan, R. H., Li, W. J.
    Published in IEEE Access (2018)
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  3. 3

    Performance prediction and evaluation in female handball players using machine learning models

    Oytun, M., Tinazci, C., Sekeroglu, B., Acikada, C., Yavuz, H. U.
    Published in IEEE Access (2020)
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  4. 4

    Non-invasive quantitative muscle fatigue estimation based on correlation between EMG signal and muscle mass

    Yun, I., Jeung, J., Song, Y., Chung, Y.
    Published in IEEE Access (2020)
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  5. 5

    Study on sports volleyball tracking technology based on image processing and 3D space matching

    He, D., Li, L., An, L.
    Published in IEEE Access (2020)
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  6. 6

    Correlation between estimated thermoregulatory responses and pacing in athletes during Marathon

    Kodera, S., Kamiya, T., Miyazawa, T., Hirata, A.
    Published in IEEE Access (2020)
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  7. 7

    An intelligent identification model for the selection of elite rowers by incorporating Internet-of-Things technology

    Liu, J.-W., Chen, S.-H., Huang, Y.-C., Wang, C.-T.
    Published in IEEE Access (2020)
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  8. 8

    Active player detection in handball videos using optical flow and STIPs based measures

    Ivasic-Kos, M., Pobar, M., Gonzàlez, J.
    Published in IEEE Access (2020)
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  9. 9

    Multi-object tracking by flying cameras based on a forward-backward interaction

    Carletti, V., Greco, A., Saggese, A., Vento, M.
    Published in IEEE Access (2018)
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