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        Smart Racket – Instrumented Racket as Real-time Feedback Device in Table Tennis

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        Author(s)
        Blank, Peter
        Language
        English
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        Abstract
        In modern sports, often digitalized sensor systems are applied to monitor amateur and professional athletes. Since latest advances in miniaturization of electronic components and data analysis techniques opened new possibilities in sensor design, tiny measurement devices can easily be integrated into any kind of sports equipment or body-worn accessories. These Wearables have become essential as important data source for state-of-the-art movement analysis and performance indication to support and assess athletes during training and competition. This thesis presents methods and approaches to enable the analysis of wearable data in the field of table tennis. On the one hand, this sport is characterized by a wide range of various playing styles and technical opportunities, making it a rewarding area of research. On the other hand, digitalization in table tennis is still slowly progressing. In order to benefit from the advantages of Wearables in table tennis, this thesis introduces a training and support system comprising of an instrumented racket, multiple analysis algorithms and a feedback application running on a mobile device. Moderne, am Körper getragene Sensorsysteme zur Leistungsdiagnostik von Amateur- von Profisportlern werden immer häufiger im Sportumfeld eingesetzt. Erhebliche Fortschritte in der Miniaturisierung elektronischer Bauteile und der Weiterentwicklung von Datenanalysetechniken eröffnen neue Möglichkeiten, kleinste Sensorik unauffällig in jede Art von Kleidung und Sportausrüstung zu integrieren. Solche Wearables sind sowohl als wichtige Datenquelle für moderne Bewegungsanalyse und Leistungsindikatoren, als auch für die Unterstützung und Beurteilung von Athleten während des Trainings und Wettkampfs unverzichtbar geworden. Diese Arbeit befasst sich mit der Anwendung von Wearables im Tischtennis. Diese Sportart zeichnet sich zum einen durch eine große Bandbreite an unterschiedlichsten Spielweisen, Taktiken und technischen Möglichkeiten aus, was wissenschaftliche Forschung interessant macht. Zum anderen schreitet die Digitalisierung hier noch langsam voran. Um die Vorteile von Wearables auch im Tischtennis zugänglich zu machen und den Sport attraktiv zu gestalten, wird in dieser Arbeit ein Trainings- und Sportlerassistenzsystem vorgestellt, bestehend aus einem mit Sensorik instrumentierten Schläger, unterschiedlicher Analysealgorithmen und einer mobilen Feedbackanwendung.
        URI
        https://library.oapen.org/handle/20.500.12657/109168
        Keywords
        machine learning; pattern recognition; signal analysis; table tennis; inertial sensors
        DOI
        10.25593/978-3-96147-312-0
        ISBN
        9783961473120, 9783961473120, 9783961473113
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2020
        Series
        FAU Studien aus der Informatik, 11
        Classification
        Computer science
        Pages
        237
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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