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  1. 1

    Automated detection of quiet eye durations in archery using electrooculography and comparative deep learning models

    Sögüt, F., Yanik, H., Degirmenci, E., Kesilmis, I., Çömelekoglu, Ü.
    Published in BMC Sports Science, Medicine and Rehabilitation (2025)
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  2. 2

    A multi-view automatic table tennis umpiring framework

    Wong, P., Myint, H., Dooley, L., Hopgood, A.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2024)
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  3. 3

    Automated PTZ framing of track cyclists using timing loops

    Slembrouck, M., Decorte, R., De Bock, J., Verstockt, S.
    Published in Journal of Science and Cycling (2023)
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  4. 4

    Automated gait analysis based on a marker-free pose estimation model

    Hii, C. S. T., Gan, K. B., Zainal, N., Mohamed Ibrahim, N., Azmin, S., Mat Desa, S. H., van de Warrenburg, B., You, H. W.
    Published in Sensors (2023)
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  5. 5

    Analyse automatique de vidéos de course de natation elite (Automatic analysis of elite swim race videos)

    Jacquelin, N.
    Published 2022
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  6. 6

    20. Frühjahrsschule "Technologien im Leistungssport" 7./8. September 2022 in Leipzig (20th Spring School "Technologies in Competitive Sports" September 7-8, 2022, in Leipzig)

    IAT
    Published 2022
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  7. 7

    Technologien im Leistungssport 3: Tagungsband zur 19. Frühjahrsschule am 14./15. Mai 2018 in Leipzig (Technologies in elite sports 3: Proceedings of the 19th Spring School on 14./15. may 2018 in Leipzig)

    I. Fichtner
    Published 2018
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  8. 8

    Automated offside detection by spatio-temporal analysis of football videos

    Uchida, I., Scott, A., Shishido, H., Kameda, Y.
    Published in ACM International Conference Proceeding Series (2021)
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  9. 9

    Validation of video analysis of marker-less barbell auto-tracking in weightlifting

    Nagao, H., Yamashita, D.
    Published in PLOS ONE (2022)
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  10. 10

    Can the use of a single integrated unitary autonomic index provide early clues for eventual eligibility for olympic games?

    Lucini, D., Sala, R., Spataro, A., Malacarne, M., Benzi, M., Tamorri, S., Pagani, M.
    Published in European Journal of Applied Physiology (2018)
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  11. 11

    Real-time detection of events in soccer videos using 3D convolutional neural networks

    Rongved, O. A. N., Hicks, S., Thambawita, V., Stensland, H. H., Zouganeli, E., Johansen, D., Riegler, M., Halvorsen, P.
    Published in IEEE ISM 2020 : IEEE International Symposium on Multimedia (2020)
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  12. 12

    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.
    Published in spinfortec2020digital: 13. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 24.-25. September 2020 in Bayreuth (2020)
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  13. 13

    Entwicklung eines Machine-Learning-Tools zur automatisierten Erkennung und Klassifikation von Kopfballereignissen auf der Basis von 3D-Beschleunigungsdaten eines am Kopf getragenen... (Development of a machine learning tool for automated detection and classification of heading events based on 3D acceleration data from a head-worn inertial sensor)

    Kern, J., Lober, T., Endo, S., Hermsdörfer, J.
    Published in spinfortec2020digital: 13. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 24.-25. September 2020 in Bayreuth (2020)
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  14. 14

    Automatic detection of one-on-one tackles and ruck events using microtechnology in rugby union

    Chambers, R. M., Gabbett, T. J., Gupta, R., Josman, C., Bown, R., Stridgeon, P., Cole, M. H.
    Published in Journal of Science and Medicine in Sport (2019)
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  15. 15

    Erarbeitung von photogrammetrischen Auswerteverfahren für den Einsatz schwenkbarer Kameras in der Leistungssportforschung (Development of photogrammetric evaluation methods for the use of pivoting cameras in competitive sports research)

    Drenk, V.
    Published 1988
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  16. 16

    Mining automatically estimated poses from video recordings of top athletes

    Lienhart, R., Einfalt, M., Zecha, D.
    Published in International Journal of Computer Science in Sport (2018)
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  17. 17

    Mastering the game of Go without human knowledge

    Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., Chen, Y., Lillicrap, T., Hui, F., Sifre, L., van den Driessche, G., Graepel, T., Hassabis, D.
    Published in Nature (2017)
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  18. 18

    Mastering chess and shogi by self-play with a general reinforcement learning algorithm

    Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guenz, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., Lillicrap, T., Simonyan, K., Hassabis, D.
    Published 2017
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  19. 19

    Technologien im Leistungssport 2: Tagungsband zur 18. Frühjahrsschule am 13./14. April 2016 in Leipzig (Technologies in elite sports 2: Proceedings of the 18th Spring School on 13/14. April 2016 in Leipzig)

    I. Fichtner
    Published 2017
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  20. 20

    Automatische Analyse der individuellen Bewegungstechnik Hochsprung (Automatic analysis of the individual movement technique high jump)

    Böttcher, J.
    Published in 7th European Pole Vault and High Jump Conference, Cologne, November 11-13, 2016 (2016)
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