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  1. 1

    Maschinelles Lernen im Hochleistungsskateboarding (Machine learning in high-performance skateboarding)

    Musa, R. M., Rasid, A. M. A., Samsudin, C. N. C., Majeed, A. P. P. A., Abdullah, M. R.
    Published in Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (2025)
    “…technical and natural sciences…”
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  2. 2

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
    “…technical and natural sciences…”
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  3. 3

    Development and reliability of a street skateboarding notational analysis framework and application

    Diewald, S. N., Noth, N., Mancini, N., Neville, J., Cronin, J., Cross, M. R.
    Published in Applied Sciences (2025)
    “…technical and natural sciences…”
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  4. 4

    The role of metatarsal bone during the ollie landing

    Yusen, W., Haichun, W., Cheng, D., Yangyu, G., Xiaolan, Z.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
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  5. 5

    SkateboardAI: The coolest video action recognition for skateboarding (student abstract)

    Chen, H.
    Published in Proceedings of the AAAI Conference on Artificial Intelligence (2025)
    “…technical and natural sciences…”
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  6. 6

    A novel balance training approach: Biomechanical study of virtual reality-based skateboarding

    Kantha, P., Hsu, W.-L., Chen, P.-J., Tsai, Y.-C., Lin, J.-J.
    Published in Frontiers in Bioengineering and Biotechnology (2023)
    “…technical and natural sciences…”
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  7. 7

    Entwicklung eines Wettkampfanalysesystems im Skateboarding (Development of a competition analysis system in skateboarding)

    Schönburg, S., Noth, N.
    Published in 15. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie": Zwischen Geistesakrobatik und praktischer Anwendung: Innovationen in der Sportinformatik und Sporttechnologie (2024)
    “…technical and natural sciences…”
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  8. 8

    Smart Truck - Wie Tricks im Skateboarden durch Machine Learning klassifizieren kann (Smart Truck - How machine learning can classify tricks in skateboarding)

    Westenberger, E., Kreiner, J., Freitas, G., Fresen, L., Hollaus, B.
    Published in 15. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie": Zwischen Geistesakrobatik und praktischer Anwendung: Innovationen in der Sportinformatik und Sporttechnologie - Abstractband (2024)
    “…technical and natural sciences…”
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  9. 9

    Smart Truck: Classifying skateboard tricks with a convolutional neural network based on motion data

    Westenberger, E., Hollaus, B., Freitas, G., Fresen, L.
    Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)
    “…technical and natural sciences…”
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  10. 10

    Motion based trick classification in skateboarding using machine learning

    Hollaus, B., Westenberger, E., Kreiner, J., Freitas, G., Fresen, L.
    Published in IEEE Xplore (2023)
    “…technical and natural sciences…”
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  11. 11

    "What does skateboarding mean to you?" An exploratory study of Brazilian skateboarders` developmental experiences

    Costa, G. H., Kochanek, J., Erickson, K.
    Published in Qualitative Research in Sport, Exercise and Health (2023)
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  12. 12

    Goal orientation and sensation seeking in relation to optimal mood states among skateboarders

    Boyd, M. P., Kim, M.-S.
    Published in Journal of Sport Behavior (2007)
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  13. 13

    A finite element analysis approach to design and optimize the static structural impact on a skateboard

    Abid, A., Bhuiyan, A. A.
    Published in materialstoday: Proceedings (2022)
    “…technical and natural sciences…”
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  14. 14

    Measuring the shock attenuation properties of skateboarding shoes

    Determan, J. J., Frederick, E. C., Nevitt, M. N.
    Published in Footwear Science (2009)
    “…technical and natural sciences…”
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  15. 15

    Kinetics of the Skateboarding Kickflip

    Determan, J., Frederick, E. C., Cox, J., Nevitt, M.
    Published in Journal of Biomechanics (2006)
    “…technical and natural sciences…”
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  16. 16

    Optimization of lightweight axles for an innovative carving skateboard based on carbon fiber placement

    Fleischmann, M., Ehemann, C., Kaufmann, J., Cebulla, H.
    Published in Proceedings (2018)
    “…technical and natural sciences…”
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  17. 17

    IMMU-based orientation determination in sports analytics: kinematic analysis and performance interpretation

    Groh, B. H.
    Published in BiSp-Liste Dissertationen (2021)
    “…technical and natural sciences…”
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  18. 18

    Event detection in broadcasting video for halfpipe sports

    Wen, H.-K., Chang, W.-K., Chang, C.-H., Lin, Y.-T., Wu, J.-L.
    Published in MM '14: Proceedings of the 22nd ACM international conference on Multimedia, November 2014 (2014)
    “…technical and natural sciences…”
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  19. 19

    Automatic temporal event detection of the Ollie movement during skateboarding using wearable IMUs

    Hu, X., Liang, F., Fang, Z., Qu, X., Zhao, Z., Ren, Z., Cai, W.
    Published in Sports Biomechanics (2024)
    “…technical and natural sciences…”
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  20. 20

    The classification of skateboarding tricks via transfer learning pipelines

    Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Zakaria, M. A., Razman, M. A. M., Musa, R. M., Osman, N. A. A., Majeed, A. P. A.
    Published in PeerJ Computer Science (2021)
    “…technical and natural sciences…”
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