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  1. 1

    The moderating effect of match external load on neuromuscular performance in U-18 English Premier League academy football players: A principal component regression approach

    Springham, M., Singh, N., Stewart, P., Matthews, J., Jones, I., Norton-Sherwood, C., May, D., Salter, J., Strudwick, A. J., Shaw, J. W. “…Total, high-speed running, high metabolic load, explosive and Zone6 distances, and the total number of accelerations and decelerations were recorded using global positioning system and microelectrical mechanical sensor devices. Standardized changes to neuromuscular performance measures (CMJ jump height and IADS and isometric posterior chain strength peak force) were summated to create a total score of neuromuscular performance. …”
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  2. 2

    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. “…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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  3. 3

    Elite youth football goalkeepers outperform amateur adults in reactive agility task without a significant contribution of fatigue

    Skala, F., Kovác, K., Zemková, E. “…METHODS: Eight elite youth (EY; 14.3±0.9 y) and eight amateur adult goalkeepers (AA; 21.6±1.3 y) underwent the reactive agility task, consisting of reaction to 8 light-based stimuli randomly displayed on 4 LED sensors (WittySEM, Microgate, Bolzano, Italy). These sensors were 2 m apart from the starting point and located at 30° and 60° angles. …”
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  4. 4

    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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  5. 5

    On-field kinematics of cut maneuvers in football players: Are wearable sensors reliable for assessing anterior cruciate ligament injury risk?

    Di Paolo, S., Gokeler, A., Benjaminse, A., Zaffagnini, S., Bragonzoni, L.
    Published in Journal of Sports Sciences (2025)
    Subjects: “…Sensor…”
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  6. 6

    Homography based player identification in live sports

    Pandya, Y., Nandy, K., Agarwal, S. Subjects: “…Sensor…”
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  7. 7

    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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  8. 8

    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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  9. 9

    Can heat conditions affect the heart rate responses, perception of effort, and technical performance of young male football players during small-sided games? a comparative study

    Kang, Z.-H., Chen, Z., Liu, G.-Y. “…Throughout the games, mean heart rate responses (HRmean), measured via heart rate sensors; rate of perceived exertion (RPE), assessed using the CR-10 Borg scale; and successful passes and lost balls, tracked through an ad hoc observational analysis tool, were monitored. …”
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  10. 10

    Assessing changes in reaction time following RAMP warm-up and short-term repeated volleyball specific exercise in young players

    Ciesluk, K., Sadowska, D., Krzepota, J.
    Published in Sensors (2025)
    “…Sensors…”
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  11. 11

    Energetic and neuromuscular demands of unresisted, parachute- and sled-resisted sprints in youth soccer players: differences between two novel determination methods

    Grassadonia, G., Bruni, M., Alcaraz, P. E., Freitas, T. T.
    Published in Sensors (2024)
    Subjects: “…Sensor…”
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  12. 12

    Analysing physical performance indicators measured with electronic performance tracking systems in men's beach volleyball formative stages

    Marzano-Felisatti, J. M., Martínez-Gallego, R., Pino-Ortega, J., García-de-Alcaraz, A., Priego-Quesada, J. I., Guzmán Luján, J. F.
    Published in Sensors (2024)
    Subjects: “…Sensor…”
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  13. 13

    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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  14. 14

    Comparison of mean values and entropy in accelerometry time series from two microtechnology sensors recorded at 100 vs. 1000 Hz during cumulative tackles in young elite rugby league players

    Fernández-Valdés, B., Jones, B., Hendricks, S., Weaving, D., Ramirez-Lopez, C., Whitehead, S., Toro-Román, V., Trabucchi, M., Moras, G.
    Published in Sensors (2024)
    Subjects: “…Sensor…”
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  15. 15

    Assessing energy availability and glucose dynamics in adolescent cyclists: Implications for nutritional interventions during the competitive season

    Tarocchi, M., Pellegrino, A., Skroce, K., Zignoli, A., Cavadini, L. C., Bodini, C., Pagliai, G., Toncelli, L., Stefani, L., Vanni, S., Boddi, M., Modesti, A., Modesti, P. A.
    Published in Nutrients (2024)
    “…Their real-time power output, interstitial glucose, and temperature were recorded via sensors and a bike computer. Their energy intake (EI) was estimated from daily, self-reported food diaries. …”
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  16. 16

    Variations in external and internal intensities and impact of maturational age on soccer training tasks

    García-Ceberino, J. M., Cantonero-Cobos, J. M., Conde, C., Fernández-Ozcorta, E. J.
    Published in Sensors (2024)
    “…Sensors…”
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  17. 17

    Assessing variations in positional performance across age groups and during matches in youth association football competitions

    Liu, Q., Huang, Z., Coutinho, D., Wei, X., An, T., Gonçalves, B.
    Published in Sensors (2024)
    “…Sensors…”
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  18. 18

    Comparisons of head impacts between Korean youth athletes and non-athletes in soccer headings

    Kim, E., Kim, Y.-K., Choi, S. “…The head injury criterion (HIC) was calculated from the linear acceleration data from a head-attached inertial measurement unit (IMU) sensor. Results indicated there was no significant difference in HIC between the two groups. …”
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  19. 19

    Study on the impact of implementing an exercise program using fitlight technology for the development of upper limb coordinative abilities in basketball players

    Steff, N., Badau, D., Badau, A.
    Published in Sensors (2024)
    “…Sensors…”
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  20. 20

    Improving the jump shots of U12 junior basketball players by implementing a combined program of plyometric and coordination exercises using MyVert technology

    Radu, A., Badau, D., Badau, A.
    Published in Sensors (2024)
    Subjects: “…Sensor…”
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