Search Results - "technical and natural sciences"

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  1. 1

    500 m speed skating performance analysis: focusing on 22/23 and 23/24 seasons

    Song, J. H. “…technical and natural sciences…”
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  2. 2

    On the curved skate technique of speed skating

    van der Eb, J., Yeadon, M. R. F. “…technical and natural sciences…”
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  3. 3

    Key body posture characteristics of short-distance speed skaters at the start based on artificial intelligence

    Xueliana, Z., Yingjieb, F., Hang, L.
    Published in arXiv e-print repository (2025)
    “…technical and natural sciences…”
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  4. 4

    Analysing short-track speed skating performance factors

    Claudel, J., Clément, J.
    Published in Sports Biomechanics (2025)
    “…technical and natural sciences…”
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  5. 5

    Investigating the biomechanical implications of varied push-off angles on metatarsal and metatarsophalangeal joints in speed skating

    Haichun, W., Xiaolan, Z. “…technical and natural sciences…”
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  6. 6

    Reliability of motion phase identification for long-track speed skating using inertial measurement units

    Iizuka, T., Tomita, Y.
    Published in PeerJ (2024)
    “…technical and natural sciences…”
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  7. 7

    Feedback systems

    Leinen, P., Panzer, S. “…technical and natural sciences…”
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  8. 8

    Automatic detection of skate strokes in short-track speed skating using one single IMU: validation of a new method

    Clément, J., Croteau, F., Gagnon, M., Cros, S.
    Published in Sports Biomechanics (2024)
    “…technical and natural sciences…”
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  9. 9

    A ground reaction force model of speed skating based on non-contact measurement system

    Zhu, Q., Yang, C., Ke, P., Yang, H., Hong, P.
    Published in iScience (2024)
    “…technical and natural sciences…”
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  10. 10

    Modeling the early and late acceleration phases of the sprint start in elite long track speed skaters

    Zukowski, M. H., Herzog, W., Jordan, M. J. “…technical and natural sciences…”
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  11. 11

    SKT-MOT and DyTracker: A multiobject tracking dataset and a dynamic tracker for speed kkating video

    Wang, J., Li, Z., Li, Y., Yang, S., Wang, B., Li, H.
    Published in Applied Bionics and Biomechanics (2023)
    “…technical and natural sciences…”
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  12. 12

    Enhancing short track speed skating performance through improved DDQN tactical decision model

    Yang, Y., Li, F., Chang, H.
    Published in Sensors (2023)
    “…technical and natural sciences…”
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  13. 13

    Aerodynamic drag study of speed skaters using CFD simulations

    Wei, Y., Wang, Y., Nie, Y., Weng, D., Chen, L., Ma, Y., Pang, Z., Wang, J. “…technical and natural sciences…”
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  14. 14

    Using wearable sensors to estimate mechanical power output in cyclical sports other than cycling - a review

    de Vette, V. G., Veeger, D., van Dijk, M. P.
    Published in Sensors (2023)
    “…technical and natural sciences…”
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  15. 15

    A comprehensive analysis method for short track speed skating state performance

    Yang, W., Chen, Y., Wu, S., Chang, H.
    Published in Proceedings of SPIE (2022)
    “…technical and natural sciences…”
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  16. 16

    The vibe of skating; design and testing of a vibro-tactile feedback system

    Jansen, A. J., Dekker, M., van der Steen, D.
    Published in Proceedings (2018)
    “…technical and natural sciences…”
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  17. 17

    Construction of women`s all-around speed skating event performance prediction model and competition strategy analysis based on machine learning algorithms

    Liu, M., Chen, Y., Guo, Z., Zhou, K., Zhou, L., Liu, H., Bao, D., Zhou, J.
    Published in Frontiers in Psychology (2022)
    “…technical and natural sciences…”
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  18. 18

    On-site aerodynamic investigation of speed skating

    Spoelstra, A., Terra, W., Sciacchitano, A. “…technical and natural sciences…”
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  19. 19

    Body-attached sensors for automatic detection of skating stroke events in speed skating

    Krumm, D., Buder, J., Odenwald, S. “…technical and natural sciences…”
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  20. 20

    A wearable system for jump detection in inline figure skating

    Panfili, A., Spanò, A., Cortesi, A.
    Published in Sensors (2022)
    “…technical and natural sciences…”
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