Search Results - Human Movement Science

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  1. 1

    Horse gait analysis using wearable inertial sensors and machine learning

    Rana, M., Mittal, V.
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  2. 2

    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)
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  3. 3

    Asymmetry changes in sprinting do not relate to changes in sprint performance

    Gleadhill, S., Nagahara, R.
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  4. 4

    Supporting mental health: pre-post four-week psychological capacity building program for Indian target sport athletes

    Gill, S., Singh, P.
    Published in Human Movement (2024)
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  5. 5

    Effects of advanced footwear technology shoes on race walking efficiency and performance: a randomised cross over study

    Lee, R. Y., Suzuki, Y., Hata, K., Yamazaki, Y., Yanagiya, T.
    Published in Footwear Science (2025)
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  6. 6

    Body composition and bone mineral density in high performance runners

    Cholp, J., Strelecký, M., Cupka, M., Buzgó, G., Oreská, L., Cernácková, A., Hamar, D., Kern, H., Payer J., Killinger, Z., Sedliak, M. “…INTRODUCTION: The endurance running is nowadays the subject of interest not only in sport science and competitive sport, but also the general population, as it is one of the most natural movements of human. …”
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  7. 7

    The role of the iliopsoas in the transition from walking to running

    Taira, C., Kiyama, R., Forner-Cordero, A.
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  8. 8

    Greater volumes of high-intensity running lead to muscle-tendon injuries in professional Brazilian soccer players

    Raya-González, J., García-Calvo, T., Lobo-Triviño, D., Rubio-Morales, A., dos Santos Guimarães, R., Castillo, D.
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  9. 9

    Validation of a laser device for assessing high-speed running in an outdoor team sport setting

    Duthie, G. M., Robertson, S., Ball, K., Haycraft, J., Bright, L., Parkinson, T., Billingham, J., Aughey, R. J.
    Published in Sports Engineering (2025)
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  10. 10

    Error assessment of a three-dimensional underwater motion capture methodology

    Thompson, I. M., Audot, D. A. G., Warner, M. B., Banks, J., Logan, O., Hudson, D.
    Published in Sports Biomechanics (2025)
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  11. 11

    Effects of fatigue on ground reactions forces-related variables: A systematic review in long-distance runners

    Silva, M., Afonso, J., Ramirez-Campillo, R., Fernandes, R. J., Conceição, F.
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  12. 12

    Comparing the maximal horizontal deceleration demands between a novel acceleration to deceleration assessment and the 505 change of direction test

    Philipp, N. M., Scott, A. A., Caldwell, B. R., Cabarkapa, D., Johnson, Q. R., Fry, A. C.
    Published in Journal of Human Sport & Exercise (2024)
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  13. 13

    Determining the optimum number of cycles for calculating joint coordination and its variability during running at different speeds: A timeseries analysis

    Sarvestan, J., Aghaie Ataabadi, P., Khaleghi Tazji, M., Hamill, J.
    Published in Journal of Biomechanics (2024)
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  14. 14

    Biomechanics of human locomotion in the wind

    Mesquita, R. M., Willems, P. A., Catavitello, G., Gibertini, G., Natalucci, V., Luciano, F., Minetti, A. E., Pavei, G., Dewolf, A. H.
    Published in Journal of Applied Physiology (2024)
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  15. 15

    Physiological responses of male and female swimmers in different warm-up protocols

    Altan, B. K., Odabas, I. “…International Journal of Human Movement and Sports Sciences…”
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  16. 16

    A descriptive study of coaches' perceptions regarding talent identification and development in swimming

    Alexiou, P., Nikolopoulos, A., Lola, A., Tsalis, G., Mavridis, G., Manou, V., Dalamitros, A. “…International Journal of Human Movement and Sports Sciences…”
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  17. 17

    Acute effects of running 10km on the medial longitudinal arch height: dynamic evaluation using a three-dimensional motion capture system

    Kuroda, S.
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  18. 18

    Leg stiffness and energy minimisation in human running gaits

    Wróblewska, Z., Kowalczyk, P., Przednowek, K.
    Published in Sports Engineering (2024)
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  19. 19

    Inter-trial variability is higher in 3D markerless compared to marker-based motion capture: Implications for data post-processing and analysis

    Horsak, B., Prock, K., Krondorfer, P., Siragy, T., Simonlehner, M., Dumphart, B.
    Published in Journal of Biomechanics (2024)
    “…Markerless motion capture has recently attracted significant interest in clinical gait analysis and human movement science. Its ease of use and potential to streamline motion capture recordings bear great potential for out-of-the-laboratory measurements in large cohorts. …”
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  20. 20

    Markerless motion capture provides accurate predictions of ground reaction forces across a range of movement tasks

    Lichtwark, G. A., Schuster, R. W., Kelly, L. A., Trost, S. G., Bialkowski, A.
    Published in Journal of Biomechanics (2024)
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