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  1. 1

    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)
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  2. 2

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

    Chen, H.
    Published in Proceedings of the AAAI Conference on Artificial Intelligence (2025)
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  3. 3

    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)
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  4. 4

    Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis

    Ab Rasid, A. M., Muazu Musa, R., Abdul Majeed, A. P., Musawi Maliki, A. B. H., Abdullah, M. R., Mohd Razmaan, M. A., Abu Osman, N. A.
    Published in PLOS ONE (2024)
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  5. 5

    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)
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  6. 6

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

    Groh, B. H.
    Published in BiSp-Liste Dissertationen (2021)
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  7. 7

    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)
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  8. 8

    IMU-based trick classification in skateboarding

    Groh, B. H., Kautz, T., Schuldhaus, D., Eskofier, B. M.
    Published in KDD Workshop 9: Workshop on Large-Scale Sports Analytics (2015)
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  9. 9

    The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning

    Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Razman, M. A. M., Musa, R. M., Majeed, A. P. A.
    Published in Intelligent Manufauring and Mechatronics: Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics - SympoSIMM 2019, 8 July 2019, Melaka, Malaysia (2019)
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  10. 10

    The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach

    Ibrahim, M. A. R., Abdullah, M. A., Shapiee, M. N. A., Razman, M. A. M., Musa, R. M., Zakaria, M. A., Osman, N. A. A., Majeed, A. P. A.
    Published in Enhancing Health and Sports Performance by Design. MoHE 2019 (2019)
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  11. 11

    The classification of skateboarding trick manoeuvres: A frequency-domain evaluation

    Ibrahim, M. A. R., Shapiee, M. N. A., Abdullah, M. A., Razman, M. A. M., Musa, R. M., Majeed, A. P. A.
    Published in Embracing Industry 4.0. Lecture Notes in Electrical Engineering, 678 (2020)
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  12. 12

    The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning

    Nur Aiman Shapiee, M., Ar Rahim Ibrahim, M., Azraai Mohd Razman, M., Amirul Abdullah, M., Muazu Musa, R., Hasnun Arif Hassan, M., Abdul Majeed, A. P. P.
    Published 2020
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