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  1. 1

    Examining internal and external load relationships in singles and doubles badminton games among male university players

    Lin, Y. C., Liu, T. H., Shiang, T. Y., Chen, W. H.
    Published in International Journal of Performance Analysis in Sport (2025)
    “…Seventeen male collegiate badminton players wore a chest-mounted heart rate monitor (Polar H10) and a local positioning system (LPS) with an inertial measurement unit (IMU) sensor (Goalgo T1) on the non-racket shoulder during simulated singles and doubles badminton games. …”
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  2. 2

    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)
    Subjects: “…Sensor…”
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  3. 3

    Impact of auditory deprivation on tennis performance and perceived exertion

    Kolar, J., Kolar, P., Modrak, M., Veselý, V., Kobesova, A.
    Published in International Journal of Sports Physiology and Performance (2025)
    “…Data were collected using a Zepp Tennis Smart Sensor 2 to assess hit accuracy, and the Borg Rating-of-Perceived-Exertion (RPE) scale was used to measure exertion levels. …”
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  4. 4

    Exploring difference in hand-foot coordination ability among tennis players of different sport levels based on the correlation between lower-limb acceleration and hand grip force

    Xiao, Y., Zhong, J., Gao, Y., Zhang, K.
    Published in Sensors (2025)
    “…Sensors…”
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  5. 5

    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)
    “…Sensors…”
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  6. 6

    Effects of offensive, defensive and mixed playing strategy conditions on running and tennis shot activity in elite youth tennis players

    Tóth, P. J., Trzaskoma-Bicsérdy, G., Négyesi, J., Dobos, K., Ökrös, Cs.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…In addition, we also assessed six tennis shot activity parameters with smart tennis sensors (Zepp Tennis 2 Sensor, Zepp Labs, USA) which we mounted on the end of players` rackets. …”
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  7. 7

    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.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    Subjects: “…Sensor…”
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  8. 8

    Shoulder rotational and dynamic stability profiles in elite and national-level tennis players: a pilot study using an electromechanical dynamometer for measuring isometric strength

    Madroñal-Sotomayor, Á., Martínez-Aranda, L. M., Ortega-Becerra, M.
    Published in Sensors (2025)
    “…Sensors…”
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  9. 9

    Analysis of quadriceps fatigue effects on lower extremity injury risks during landing phases in badminton scissor jump

    Wen, J., Xu, D., Zhou, H., Zhang, Z., Xiang, L., Munivrana, G., Gu, Y.
    Published in Sensors (2025)
    “…Sensors…”
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  10. 10

    Table tennis ball spin estimation with an event camera

    Gossard, T., Krismer, J., Ziegler, A., Tebbe, J., Zell, A.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2024)
    Subjects: “…Sensor…”
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  11. 11

    Comparison of external and internal training loads in elite junior male tennis players during offensive vs. defensive strategy conditions: a pilot study

    Tóth, P. J., Trzaskoma-Bicsérdy, G., Trzaskoma, L., Négyesi, J., Dobos, K., Havanecz, K., Sáfár, S., Ökrös, C.
    Published in Sports (2025)
    “…Among the external training load variables, running activities were measured with a GPS sensor operating at 10 Hz and a 100 Hz tri-axial piezoelectric linear accelerometer integrated into it; furthermore, tennis shot activities were measured with a tennis racket-mounted smart sensor. …”
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  12. 12

    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)
    “…Sensors…”
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  13. 13

    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)
    Subjects: “…Sensor…”
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  14. 14

    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)
    Subjects: “…Sensor…”
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  15. 15

    Uncovering the hidden mechanics of upper body rotations in tennis serves using wearable sensors on Dutch professional players

    van Trigt, B., Faneker, E., Leenen, A. J. R., Hoekstra, A. E., Hoozemans, M. J. M.
    Published in Frontiers in Sports and Active Living (2025)
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  16. 16

    Accuracy of an ultra-wideband-based tracking system for time-motion analysis in tennis

    Yang, W., Wang, J., Zhao, Z., Cui, Y.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  17. 17

    The effect of electrical stimulation strength training on lower limb muscle activation characteristics during the jump smash performance in badminton based on the EMS and EMG sensors

    Lin, X., Hu, Y., Sheng, Y.
    Published in Sensors (2025)
    “…Sensors…”
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  18. 18

    Are junior tennis players less exposed to shocks and vibrations than adults? A pilot study

    Le Solliec, T., Hautier, C., Gassier, R., Trama, R., Gilbert, B., Song, L., Zhang, Q.
    Published in Sensors (2024)
    Subjects: “…Sensor…”
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  19. 19

    The effect of virtual reality technology in table tennis teaching: a multi-center controlled study

    Ma, T., Du, W., Zhang, Q.
    Published in Sensors (2024)
    “…Sensors…”
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  20. 20

    Grip force and pressure distribution analysis of three badminton forehand overhead strokes of male and female players: A case study

    Pan, K.-M., Kao, F., Tsai, C.-L.
    Published in Journal of Physical Education and Sport (2024)
    “…A Phantom high-speed digital camera and palm pressure sensors were synchronized to capture 2-D kinematic data and record finger force and pressure signals from the preparation phase to the point of contact and follow-through. …”
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