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  1. 1

    Decoding speed climbing: AI-powered biomechanical analysis of elite performance

    Shunko, A.
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  2. 2

    The Way up: a dataset for hold usage detection in sport climbing

    Maschek, A., Schedl, D. C.
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  3. 3

    Automated video assistant referee in lead climbing

    Künzler, E., Roder, D., Stöcker, U., Wolf, P.
    Published in Current Issues in Sport Science (2025)
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  4. 4

    The combined utility of eye-tracking technology and cued retrospective think-aloud to investigate cognitive-perceptual mechanisms underpinning the visual gaze behaviours of climbin...

    Mitchell, J., Sheffield, D., Taylor, N., Giles, D., Frances, A. M.
    Published in BASES Conference 2024 (2024)
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  5. 5

    Detection of lowering in sport climbing using orientation-based sensor-enhanced quickdraws: a preliminary investigation

    Moaveninejad, S., Janes, A., Porcaro, C.
    Published in Sensors (2024)
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  6. 6

    Climbing technique evaluation by means of skeleton video stream analysis

    Beltrán Beltrán, R., Richter, J., Köstermeyer, G., Heinkel, U.
    Published in Sensors (2023)
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  7. 7

    Design of a sensor network for the quantitative analysis of sport climbing

    Colombo, A., Maj, R., Canina, M., Fedeli, F., Dozio, N., Ferrise, F.
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  8. 8

    Analysis of competition and training videos of speed climbing athletes using feature and human body keypoint detection algorithms

    Pandurevic, D., Draga, P., Sutor, A., Hochradel, K.
    Published in Sensors (2022)
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  9. 9

    SPEED21: Speed climbing motion dataset

    Elias, P., Skvarlova, V., Zezula, P.
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  10. 10

    Labeled dataset of speed climbing performance

    Skvarlova, V.
    Published 2021
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  11. 11

    The professionalization of action sports: Mapping trends and future directions

    Thorpe, H., Dumont, G,
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  12. 12

    Electrical interconnection system for heating eye-shield

    O'Malley, V., Cornelius, J. C.
    Published 2018
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