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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

    Experimental exploration of artificial intelligence and ADAMS simulation technology in the teaching of vertical hoop upward throw in rhythmic gymnastics

    Ren, Q., Ma, Z.
    Published in PLOS ONE (2025)
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  3. 3

    Skating efficiency and technique during roller speed skate using innovative piezoelectric smart socks: an exploratory study

    Bongiorno, G., Minisini, F. G., Biancuzzi, H., Dal Mas, F., Miceli, L.
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  4. 4

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

    Wang, F., Wang, Q., Chen, D.
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  5. 5

    Evaluating variability in rhythmic gymnastics: Analysis of split leap using the gold standard motion analysis system

    Coppola, S., Costa, C., Albano, D., Vastola, R.
    Published in Journal of Human Sport & Exercise (2025)
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  6. 6

    Inter- and intra-rater reliability of handheld dynamometry for lower extremity strength testing in pre-professional dancers

    Schaeffer, M., Daniels Abbruzzese, L., Tawa, Z., Schultz, K., Binney, J., Boyle, J., Bronner, S.
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  7. 7

    Perceptions and attitudes toward the use of wearable technology in the dance studio environment

    Volkova, V., Ferber, R., Pasanen, K., Kenny, S.
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  8. 8

    Action quality assessment model using specialists' gaze location and kinematics data-focusing on evaluating figure skating jumps

    Hirosawa, S., Kato, T., Yamashita, T., Aoki, Y.
    Published in Sensors (2023)
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  9. 9

    Concerns about strenght tests in gymnastics: a systematic review

    Gasparetto, Z., Julião, A. L., Thuany, M., Martinez, P. F., de Mendonça Bacciotti, S., de Oliveira-Junior, S. A.
    Published in Science of Gymnastics Journal (2022)
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  10. 10

    Gold standard motion analysis system for evaluating jumping performance in rhythmic gymnastics

    Coppola, S., Costa, C., Vastola, R.
    Published in Journal of Human Sport & Exercise (2023)
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  11. 11

    Automatic classification of take-off type in figure skating jumps using a wearable sensor

    Jones, M., Ridge, S., Caminita, M., Bassett, K. E., Bruening, D.
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  12. 12

    A survey on video action recognition in sports: Datasets, methods and applications

    Wu, F., Wang, Q., Bian, J., Xiong, H., Ding, N., Lu, F., Cheng, J., Dou, D.
    Published in arXiv e-print repository (2022)
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  13. 13

    A wearable system for jump detection in inline figure skating

    Panfili, A., Spanò, A., Cortesi, A.
    Published in Sensors (2022)
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  14. 14

    Sensing technology for assessing motor behavior in ballet: A systematic review

    Quadrado, V., Moreira, M., Ferreira, H., Passos, P.
    Published in Sports Medicine - Open (2022)
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  15. 15

    Automated figure skating technical specialist: Identification of jumps utilizing video classification

    Delmastro, A.
    Published 2021
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  16. 16

    Shifting spaces: using defamiliarization to design choreographic technologies that support co-creation

    Carlson, K., Fdili Alaoui, S., Corness, G., Schiphorst, T.
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  17. 17

    Body and embodiment in dance performance

    Peng, Y. F., Tanaka, A.
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  18. 18

    Integrating technology in figure skating

    King, D. L., Vescovi, J. D.
    Published in The science of figure skating (2018)
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  19. 19

    Designing an interactive ice skating dress for young athletes

    Häkkilä, J., Helander, V., Jamoido, D., Colley, A.
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  20. 20

    Olympiaanalyse Pyeongchang 2018. Olympiazyklusanalyse und Auswertungen der Olympischen Winterspiele 2018 in ausgewählten Sportarten (Olympic analysis PyeongChang 2018. Olympic cycle analysis and evaluations of the 2018 Olympic Winter Games in selected sports)

    J. Wick, F. Lehmann
    Published 2019
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