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  1. 1

    Did Indonesian badminton succeed in the Tokyo Olympics?

    Supriyanto, A., Pangastuti, N. I., Lismadiana, Sawali, L., Sugiyanto, F.
    Published in International Journal of Human Movement and Sports Sciences (2022)
    “…The Olympics is the largest multi-event championship in the world, which is used to show the performance of athletes. Participation in this big event is a matter of pride, especially if the athlete can present a medal for his country. …”
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  2. 2

    Badminton stroke classification based on accelerometer data: from individual to generalized models

    Peralta, D., Herbruggen, B. V., Fontaine, J., Debyser, W., Wieme, J., Poorter, E. D.
    Published in 2022 IEEE International Conference on Big Data (Big Data) (2022)
    Collective title: “…2022 IEEE International Conference on Big Data (Big Data)…”
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  3. 3

    Convolutional neural networks based ball detection in tennis games

    Renò, V., Mosca, N., Marani, R., Nitti, M., D'Orazio, T., Stella, E.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018)
    “…Hence, computer vision and machine learning are essential for enabling automated or semi-automated processing of big data in sports. Although sports are diverse enough to present unique challenges on their own, most of them share the need to identify active entities such as ball or players. …”
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  4. 4

    The winning probability of a game and the importance of points in tennis matches

    Sim, M. K., Choi, D. G.
    Published in Research Quarterly for Exercise and Sport (2020)
    “…Big Data…”
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  5. 5

    Expert modelling in tennis

    Filipcic, A., Filipcic, T., Vodicar, J.
    Published 2019
    “…Nowadays science-oriented technologies based on data processing have become a part of the modern tennis research. …”
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  6. 6

    Computational intelligence for qualitative coaching diagnostics: Automated assessment of tennis swings to improve performance and safety

    Bacic, B., Hume, P. A.
    Published in Big data (2018)
    “…Big data…”
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  7. 7

    Skin in the game: the use of sensing smart fabrics in tennis costume as a means of analyzing performance

    Chittenden, T.
    Published in Fashion and Textiles (2017)
    “…Whilst designers such as Teddy Tinling created tennis costumes that brought glamour and theatrical flair to the player`s performance, modern sports companies are increasingly using costume to approach human performance from a big data perspective. In the late nineteenth century, women playing tennis wore corsets and long skirts which impeded movement; today, the top players utilize fabric science that enables costume to control and record the temperature, sweat and muscle movement of the performer, whilst also presenting a vehicle to showcase their personality through their aesthetic choices. …”
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  8. 8

    Comparing matchplay characteristics and physical demands of junior and professional tennis athletes in the era of Big Data

    Kovalchik, S. A., Reid, M.
    Published in Journal of Sports Science & Medicine (2017)
    “…Vergleich von Charakteristika der Spiele und von körperlichen Anforderungen bei Junioren- und Profitennisspielern im Zeitalter von Big Data…”
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  9. 9

    Spatio-temporal analysis of tennis matches

    Mora, S., Knottenbelt, W.
    Published in Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics (2016)
    “…Big Data…”
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  10. 10

    Towards a big data solution for analyzing the reputational impact of the Tennis Italian Open

    Oro, E., Ruffolo, M.
    Published in Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics (2016)
    “…Auf dem Weg zu einer Big-Data-Lösung zur Analyse des Rufs der Italian open im Tennis…”
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  11. 11

    What can Hawk-Eye data reveal about serve performance in tennis?

    Rioult, F., Mecheri, S., Mantel, B., Kauffmann, F., Benguigui, N.
    Published in Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2015 workshop (2015)
    “…To that purpose, we analyzed a big set of data collected between 2003 and 2008 at international ATP, WTA and Grand Slam tournaments and corresponding to 84 tournaments, 1729 matches, 262,596 points. …”
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