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  1. 1

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

    D. Memmert
    Published 2025
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  2. 2

    From beats to scores: a multi-modal framework for comprehensive figure skating assessment

    Wang, F., Wang, Q., Chen, D.
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  3. 3

    Qualitative assessment of ballet kinematics algorithm: case study in the glissade saut de chat

    Benchetrit, A.
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  4. 4

    Applications of biomechanical foot models to evaluate dance movements using three-dimensional motion capture: a review of the literature

    Veirs, K. P., Fagg, A. H., Haleem, A. M., Jeffries, L. M., Randall, K., Sisson, S. B., Dionne, C. P.
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  5. 5

    Krugovaja trenirovka kak sposob modelirovanija fiziceskoj nagruzki v figurnom katanii (Circular training as a method for modeling physical loads in figure skating)

    Cherepanova, I. O., Dunaev, K. S., Seyranov, S. G., Tikhomirov, A. K.
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  6. 6

    Trait perfectionism and dance goals among young female dancers: An application of the 2 × 2 model of perfectionism

    Molnar, D. S., Blackburn, M., Zinga, D., Spadafora, N., Methot-Jones, T., Connolly, M.
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  7. 7

    The effect of difficulty and execution scores on total ranking during 2019 Rhythmic Gymnastics World Championships

    Örs, B. S.
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  8. 8

    Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies

    Rallis, I., Bakalos, N., Doulamis, N., Doulamis, A., Voulodimos, A.
    Published in The Visual Computer (2021)
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  9. 9

    Modern Methods of fatigue assessment

    Volkova, Y.
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  10. 10

    Research on artistic gymnastics training guidance model

    Luo, L., Sun, X.
    Published in AIP Conference Proceedings (2017)
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  11. 11

    2D video analysis system to analyze the performance model of figure roller skating: A pilot study

    Romagnoli, C., Bonaiuto, V., Gatta, G., Romagnoli, N., Alashram, A., Padua, E., Annino, G.
    Published in Proceedings (2020)
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  12. 12

    Figure skating simulation from video

    Yu, R., Park, H., Lee, J.
    Published in Computer Graphics Forum (2019)
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  13. 13

    Model values of motor abilities of junior rhythmic gymnasts in the Republic of Croatia

    Radas, J., Ukic, M., Furjan Mandic, G.
    Published in Kinesiology (2019)
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  14. 14

    The dancer in the eye: towards a multi-layered computational framework of qualities in movement

    Camurri, A., Volpe, G., Piana, S., Mancini, M., Niewiadomski, R., Ferrari, N., Canepa, C.
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  15. 15

    Towards a multimodal repository of expressive movement qualities in dance

    Piana, S., Coletta, P., Ghisio, S., Niewiadomski, R., Mancini, M., Sagoleo, R., Volpe, G., Camurri, A.
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  16. 16

    Capturing and documenting creative processes in contemporary dance

    Ribeiro, C., dos Anjos, K. R., Fernandes, C. .
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  17. 17

    Three-dimensional visualization of movement qualities in contemporary dance

    dos Anjos, K. R., Ribeiro, C., Fernandes, C.
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  18. 18

    Towards a model of nonverbal leadership in unstructured joint physical activity

    Niewiadomski, R., Chauvigne, L., Mancini, M., Camurri, A.
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  19. 19

    Sketches vs skeletons: video annotation can capture what motion capture cannot

    Gillies, M., Brenton, H., Yee-King, M., Grimalt-Reynes, A., d'Inverno, M.
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  20. 20

    Dynamic dance warping: Using dynamic time warping to compare dance movement performed under different conditions

    Ferguson, S., Schubert, E., Stevens, J. C.
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