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  1. 1

    Horse gait analysis using wearable inertial sensors and machine learning

    Rana, M., Mittal, V.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…Sensor…”
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  2. 2

    Investigation of supervised machine learning for IMU-based swimming activity recognition

    Aram, S., Thompson, I. M., Hudson, D. A., Banks, J.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
    “…Sensor…”
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  3. 3

    Evaluating agreement between a high-g and low-g accelerometer for measuring tibial acceleration across a range of running velocities

    Wong, J., Wyatt, H. E., Whatman, C., Cross, M. R., Yang, D., Sheerin, K.
    Published in Sports Biomechanics (2025)
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  4. 4

    Open water swimming: swimmers` kinematical and neuromuscular characterisation in a 5 km swim

    Conceição, A., Marinho, D., Stastny, J., Gonçalves, C., Freitas, J., da Costa-Machado, R., Louro, H.
    Published in Sports (2025)
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  5. 5

    Comparison of an IMU- and magnet timing gate- based system and an opto-electronic device for analysing running biomechanics

    Neuhaus, N., Breuker, K., Schmidt, M.
    Published in Sports Engineering (2025)
    “…Sensor…”
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  6. 6

    Validation of step time and asymmetry detection algorithm in high-intensity running with Movesense IMU

    Martín Gómez, R., Kamstra, H., Allevard, E., Pollet-Villard, L., Cotter, J., Lamb, P.
    Published in Journal of Biomechanics (2025)
    “…Sensor…”
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  7. 7

    Trigger force and pistol motion of air pistol shooters of different skill levels

    Liao, Y., Yang, H., Hamill, J., Tang, W.
    Published in Journal of Sports Sciences (2025)
    “…Sensor…”
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  8. 8

    Foot strike pattern detection using a loadsol® sensor insole

    Hata, K., Yamazaki, Y., Ishikawa, M., Yanagiya, T.
    Published in Sensors (2025)
    “…Sensor…”
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  9. 9

    Reliability, accuracy and ecological validity of a wireless pressure sensor for swimming performance analysis

    Coloretti, V., Russo, G., Bartolomei, S., Fantozzi, S., Cortesi, M.
    Published in Sports Engineering (2025)
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  10. 10

    The influence of menstrual cycle in heart rate variability and performance - a case study of a highly-trained female long-distance runner

    Barría-Miranda, F., Azócar-Gallardo, J., Ñancupil-Andrade, L., Ñancupil-Andrade, A., Garcia-Carrillo, E., Campos-Uribe, V., Cresp-Barria, M.
    Published in Journal of Human Sport & Exercise (2025)
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  11. 11

    Sensor fusion of high-frequency RTK GNSS and IMU improves the detection performance of running characteristics of each step in 400 m run

    Keisuke, O., Kiyoshi, H., Naoto, M., Akiko, K., Wako, K., Hiroshi, N., Shunya, U., Masaki, T.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
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  12. 12

    Predicting running vertical ground reaction forces using neural network models based on an IMU sensor

    Li, S., Pan, J., Wang, D., Yuan, S., Yang, J., Hao, W.
    Published in Sensors (2025)
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  13. 13

    Estimation of lower limb joint moments using consumer realistic wearable sensor locations and deep learning - finding the balance between accuracy and consumer viability

    Carter, J., Chen, X., Cazzola, D., Trewartha, G., Preatoni, E.
    Published in Sports Biomechanics (2025)
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  14. 14

    Agreement between an inertial measurement unit (IMU) algorithm and a photoelectric system for analysing spatiotemporal variables during overground and treadmill running

    Miqueleiz, U., Aguado-Jimenez, R., Lecumberri, P., Gorostiaga, E. M.
    Published in Sports Biomechanics (2025)
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  15. 15

    Comparative kinematic analysis of high-speed treadmill vs. overground sprinting across athletic levels and sex

    Montalvo, S, Gonzales, F, Gruber, L, Gonzalez, M, Dietze-Hermosa, M, Dorgo, S.
    Published in The Journal of Sports Medicine and Physical Fitness (2025)
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  16. 16

    Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network

    Höschler, L., Halmich, C., Schranz, C., Fritz, J., Cigoja, S., Ullrich, M., Koelewijn, A. D., Schwameder, H.
    Published in Sports Biomechanics (2025)
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  17. 17

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K.
    Published in Frontiers in Sports and Active Living (2025)
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  18. 18

    Evaluating acceleration impact asymmetries during sprinting: Analyzing leg and track lane disparities among national athletes

    Paz-Paz, E. O., Pérez-Soriano, P., Encarnación-Martínez, A.
    Published in European Journal of Sport Science (2025)
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  19. 19

    Repeatability of vertical ground reaction force estimation during running on the athletics track on 3 different days

    Scheltinga, B. L., Buurke, J. H., Kok, J. N., Reenalda, J.
    Published in Journal of Applied Biomechanics (2025)
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  20. 20

    Prediction of vertical ground reaction forces under different running speeds: integration of wearable IMU with CNN-xLSTM

    Chen, T., Xu, D., Zhou, Z., Zhou, H., Shao, S., Gu, Y.
    Published in Sensors (2025)
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