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  1. 1

    Multi-sensor fusion based optimized deep convolutional neural network for boxing punch activity recognition

    Jayakumar, B., Govindarajan, N.
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  2. 2

    Real-life boxing activity recognition with smartphones using attention assisted deep learning models

    Jayakumar, B., Govindarajan, N., Loganathan, B.
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  3. 3

    Piezoelectric row-column sensing system on table tennis rackets for hit and rotation measurement

    Zhang, C., Fan, Z., Kang, Y.
    Published in PLOS ONE (2025)
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  4. 4

    Boxing punch detection and classification using motion tape and machine learning

    Huang, S.-C., Pierce, T., Lin, Y.-A., Loh, K. J.
    Published in Sensors (2025)
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  5. 5

    Head impact accelerations and punch accumulation of female elite amateur

    Callan, J., Watchorn, J.
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  6. 6

    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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  7. 7

    A pilot study exploring the optimization of warm-up strategies: modern cognitive warm-up with open-skill demands vs. traditional closed-skill warm-up in basketball

    Shalom, A., Gottlieb, R., Shalom, I., Gafni, G., Levy, A., Calleja-Gonzalez, J.
    Published in Sensors (2025)
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  8. 8

    Table tennis ball spin estimation with an event camera

    Gossard, T., Krismer, J., Ziegler, A., Tebbe, J., Zell, A.
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  9. 9

    The influence of the inertial motor unit location (lumbosacral vs. thoracic regions) on the external load registered during badminton matches

    García-López, J., Pino-Ortega, J., Fernández-Fernández, J., García-Tormo, J. V.
    Published in Sensors (2025)
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  10. 10

    Characterization of muscle activation and muscle synergism in the 'forward lunge' gait movement of badminton players using surface electromyography sensors

    Jiang, J., Li, H., Xiu, C.
    Published in Sensors (2025)
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  11. 11

    Mechanical load differences between practice and match play in badminton

    Smith, S., Jessop, D., Grimes, P., Baczala, O.
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  12. 12

    Action recognition of Taekwondo unit actions using action images constructed with time-warped motion profiles

    Lim, J., Luo, C., Lee, S., Song, Y. E., Jung, H.
    Published in Sensors (2024)
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  13. 13

    Inertial sensors containing device-based match characteristics that act as prognosticators of elite, male badminton players' performance levels

    Abdullahi, Y., Coetzee, B.
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  14. 14

    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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  15. 15

    KARATECH: A practice support system using an accelerometer to reduce the preliminary actions of karate

    Kim, K., Tsuchida, S., Terada, T., Tsukamoto, M.
    Published in Sensors (2024)
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  16. 16

    Quantifying and characterizing punches in elite boxing matches during an official competition

    Sauliere, G., Schortgen, A. ., Goyallon, T., Reveret, L., Fruchard, B., Leroy, P., Brezephin, L.
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  17. 17

    Interactive sensor technologies in the training of athletes of the children's department of the student sports club

    Vasyuk V. E., Ren Yichen, Bakaev V. V., Karaseva T. V., Lukashevich D. A.
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  18. 18

    Improving balance and movement control in fencing using IoT and real-time sensorial feedback

    Nita, V.-A., Magyar, P.
    Published in Sensors (2023)
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  19. 19

    Badminton stroke identification using wireless inertial sensor and neural network

    Ooi, J. H., Gouwanda, D.
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  20. 20

    Validity of commercially available punch trackers

    Omcirk, D., Vetrovsky, T., Padecky, J., Malecek, J., Tufano, J. J.
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