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  1. 1

    Quantifying hitting load in racket sports: A scoping review of key technologies

    Brich, Q., Casals, M., Crespo, M., Reid, M., Baiget, E.
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  2. 2

    Badminton stroke classification based on accelerometer data: from individual to generalized models

    Peralta, D., Herbruggen, B. V., Fontaine, J., Debyser, W., Wieme, J., Poorter, E. D.
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  3. 3

    FenceNet: fine-grained footwork recognition in fencing

    Zhu, K., Wong, A., McPhee, J.
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  4. 4

    Biomechanics of the upper limbs: A review in the sports combat ambit highlighting wearable sensors

    Ortega, A. B., Godoy, J. I., Wasik, D. S. S., Rayón, E. M., García, C. C., Rivera, H. R. A., Becerra, F. A.
    Published in Sensors (2022)
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  5. 5

    Less is more: Learning insights from a single motion sensor for accurate and explainable soccer goalkeeper kinematics

    Lisca, G., Prodaniuc, C., Grauschopf, T., Axenie, C.
    Published in IEEE Xplore (2021)
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  6. 6

    Evaluating the use of inertial-magnetic sensors to assess fatigue in boxing during intensive training

    Shepherd, J. B., Thiel, D. V., Espinosa, H. G.
    Published in IEEE Sensors Letters (2017)
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  7. 7

    A model for comparing over-ground running speed and accelerometer derived step rate in elite level athletes

    Neville, J. G., Rowlands, D. D., Lee, J. B., James, D. A.
    Published in IEEE Sensors Journal (2016)
    “…IEEE Sensors Journal…”
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  8. 8

    Depth versus inertial sensors in real-time sports analysis: A case study on fencing

    Malawski, F.
    Published in IEEE Sensors Journal (2021)
    “…IEEE Sensors Journal…”
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  9. 9

    Comparative study of table tennis forehand strokes classification using deep learning and SVM

    Tabrizi, S. S., Pashazadeh, S., Javani, V.
    Published in IEEE Sensors Journal (2020)
    “…IEEE Sensors Journal…”
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  10. 10

    Assessing motion style errors in ski jumping using inertial sensor devices

    Brock, H., Ohgi, Y
    Published in IEEE Sensors Journal (2017)
    “…IEEE Sensors Journal…”
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