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  1. 1

    Identification of lower limb muscle fatigue in basketball players based on sEMG signals

    Ma, X., Chen, S., Li, Q.
    Published in Frontiers in Physiology (2025)
    Subjects: “…Sensor…”
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  2. 2

    The influence of age categories on performance parameters during on-court testing in wheelchair basketball players

    Honnorat, L., Weissland, T., Pradon, D., Alberca, I. A., Rivière, J. R., Brassart, F., Vigié, O., Faupin, A. Subjects: “…Sensor…”
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  3. 3

    The correlation between the hip rotational range of motion and the medicine ball rotational throw ability of youth baseball players

    Chang, H. Y., Chiu, C. W., Lo, C. L. “…All participants also hold a smart medicine ball (A2P Ballistic Ball, abbreviation: MBP) with a sensor built into the ball to perform medicine ball turning and throwing movements for a total of 2 repetitions, and collected the values of MBP peak velocity, average velocity, and power. …”
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  4. 4

    The competition load and sports performance characteristics of elite women`s 3x3 basketball team

    LI, D., WANG, L. “…We used the Global Positioning System(GPS) "CATAPULT"(Catapult Group International Ltd,Australia) and "Polar team pro" (Finland, Polar Electro Oy) sensors to collect and analyze internal and external loads. …”
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  5. 5

    High intensity movement demands on collegiate Division II women`s basketball players: descriptive analysis from a single season

    Frinks, C., Best, S., Welch, E., Mendonca, J., Andersen, J. “…A threshold of 10 minutes played per game was used to include individual performance measures. Catapult S7 sensors in indoor mode and OpenField Console 3.10.1 were used to capture movement counts for the following variables: change of direction left high (CoD-LH), change of direction right high (CoD-RH), acceleration high (ACC-H) and deceleration high (DEC-H). …”
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  6. 6

    Sensor-driven real-time recognition of basketball goal states using IMU and deep learning

    Zhang, J., Guo, R., Zhu, Y., Che, Y., Zeng, Y., Yu, L., Yang, Z., Yang, J.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  7. 7

    Research on the impact of shot selection on neuromuscular control strategies during basketball shooting

    Zhou, Q., Wu, S., Zhang, J., Pan, Z., Kang, Z., Ma, Y.
    Published in Sensors (2025)
    “…Sensors…”
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  8. 8

    Feasibility and accuracy of an RTMPose-based markerless motion capture system for single-player tasks in 3x3 basketball

    Zheng, W., Zhang, M., Dong, R., Qiu, M., Wang, W.
    Published in Sensors (2025)
    “…Sensors…”
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  9. 9

    Agility in handball: Position- and age-specific insights in performance and kinematics using proximity and wearable inertial sensors

    Heuvelmans, P., Gokeler, A., Benjaminse, A., Baumeister, J., Büchel, D.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  10. 10

    Understanding acceleration-based load metrics: from concepts to implementation

    Freitas, J., Moreira, A., Carvalho, J., Conceição, F., Estriga, L.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  11. 11

    AI-powered analysis of eye tracker data in basketball game

    Lozzi, D., Di Pompeo, I., Marcaccio, M., Alemanno, M., Krüger, M., Curcio, G., Migliore, S.
    Published in Sensors (2025)
    “…Sensors…”
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  12. 12

    Physical demands and acute neuromuscular responses across a single-day 3 × 3 male basketball tournament

    Sansone, P., Rago, V., Alonso-Perez-Chao, E., Zhang, S., Conte, D.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  13. 13

    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)
    Subjects: “…Sensor…”
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  14. 14

    Interunit reliability of firstbeat sport sensors as accelerometer-based tracking devices in basketball

    Conte, D., Rampinini, E., Trimarchi, F., Ferioli, D. Subjects: “…Sensor…”
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  15. 15

    Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women`s Euro 2022 through an IoT and Big Data architecture approach

    Karcher, C., Font, R., Marcos-Jorquera, D., Gilart-Iglesias, V., Manchado, C.
    Published in Biology of Sport (2025)
    “…The study employed a cutting-edge computational framework integrating sensor network technologies, Local Positioning Systems (LPS), and Big Data Analytics within a descriptive analytics methodology. …”
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  16. 16

    The reliability of 20 m sprint time using a novel assessment technique

    Holmberg, P. M., Olivier, M. H., Kelly, V. G.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  17. 17

    Quantifying the effects of detraining on female basketball players using physical fitness assessment sensors

    Flórez-Gil, E., Vaquera, A., Conte, D., Rodríguez-Fernández, A.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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  18. 18

    The impact of internal and external loads on player performance in Chinese basketball association

    Li, G., Shang, L., Qin, S., Yu, H. “…During 34 games, external load was measured as PlayerLoad using micro-sensors, while internal load was assessed using session rating of perceived exertion (sRPE). …”
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  19. 19

    Surface electromyography monitoring of muscle changes in male basketball players during isotonic training

    Li, Z., Zhang, B., Wang, H., Gouda, M. A.
    Published in Sensors (2025)
    “…Sensors…”
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  20. 20

    Automated detection of change of direction in basketball players using xsens motion tracking

    Pinelli, S., Zinno, R., Jòdar-Portas, A., Prats-Puig, A., Font-Lladó, R., Bragonzoni, L.
    Published in Sensors (2025)
    Subjects: “…Sensor…”
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