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  1. 1

    Wellness monitoring for professional ballet dancers: a pilot study

    Harrison, C., Ruddock, S., O'Halloran, P., Mayes, S., Cook, J., Ruddock-Hudson, M.
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  2. 2

    The software instrumen for gymnast posture analysis

    Aji-Putra, R. B., Rahayu, T., Kasmini, W., Sulaiman
    Published in Journal of Human Sport & Exercise (2022)
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  3. 3

    Innotramp - Pilot zur automatisierten single-sensor Sprungklassifizierung im Turnen (Innotramp - Pilot for automated single-sensor jump classification in gymnastics)

    Hackbarth, M., Rausch, P., Ferger, K.
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  4. 4

    Developing real-time sonification with optical motion capture to convey balance-related metrics to dancers

    Dahl, L., Knowlton, C., Zaferiou, A.
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  5. 5

    Towards AI-enhanced ballet learning

    Trajkova, M.
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  6. 6

    BalOnSe: Ballet ontology for annotating and searching video performances

    El Raheb, K., Papapetrou, N., Katifori, V., Ioannidis, Y.
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  7. 7

    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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  8. 8

    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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  9. 9

    Motion, captured: an open repository for comparative movement studies

    Iyengar, V., Coleman, G., Tinapple, D., Turaga, P.
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  10. 10

    Using interactive machine learning to sonify visually impaired dancers' movement

    Katan, S.
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  11. 11

    3D annotation in contemporary dance: enhancing the creation-tool video annotator

    Ribeiro, C., Kuffner, R., Fernandes, C., Pereira, J.
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  12. 12

    Integrating technology in figure skating

    King, D. L., Vescovi, J. D.
    Published in The science of figure skating (2018)
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  13. 13

    Style-based motion analysis for dance composition

    Aristidou, A., Stavrakis, E., Papaefthimiou, M., Papagiannakis, G., Chrysanthou, Y.
    Published in The Visual Computer (2018)
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  14. 14

    Information technology in the evaluation of technical efficiency in rhythmic gymnastics group event

    Manos, M., Popescu, L.
    Published in Science, Movement & Health (2018)
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  15. 15

    The evaluation on data mining methods of horizontal bar training based on BP neural network

    Zhang, Y., Liu, S.
    Published in MATEC Web of Conferences (2015)
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  16. 16

    Witz wird Wirklichkeit (Joke becomes reality)

    Schmidt, S.
    Published in Leon (2017)
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  17. 17

    Why Fujitsu is developing the scoring gymnastics?

    Suzuki, S.
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  18. 18

    FIG and Fujitsu to collaborate on building a judging support system for artistic gymnastics competitions

    FIG
    Published 2017
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  19. 19

    Implementierung des Lern- und Diagnosetools "iQMsport" in drei Spitzensportverbänden (DJB, DLV, DTB) (Implementation of the learning and diagnostic tool "iQMsport" in three top sports federations (DJB, DLV, DTB))

    Hänsel, F., Baumgärtner, S. D.
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  20. 20

    MIS Reck - Weiterentwicklung und Überführung ins Heimtraining der Bundesstützpunkte (MIS high bar - development and transfer into home training of federal sport bases)

    Naundorf, F., Brehmer, S., Lehmann, T., Jentsch, H., Wagner, R., Bunk, M., Wehrmann, M., Kindler, M., Seidel, I.
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