Conference contribution
(Conference Contribution)


Ball impact localization on table tennis rackets using piezo-electric sensors


Publication Details
Author(s): Blank P, Kautz T, Eskofier B
Publisher: Association for Computing Machinery, Inc
Publication year: 2016
Conference Proceedings Title: Proceedings of the 2016 ACM International Symposium on Wearable Computers
Pages range: 72-79
ISBN: 978-1-4503-4460-9

Event details
Event: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Event location: Heidelberg, Deutschland
Start date of the event: 12/09/2016
End date of the event: 16/09/2016
Language: English

Abstract

In this paper, we present an approach for a ball impact localization on table tennis rackets using piezo-electric sensors. Three sensors were used as vibration sensors at the outer edge of the racket. We analyzed ball impact vibration appearances and measured time differences of arriving wave fronts for each sensor pair. A study was conducted comprising six different racket-rubber combinations. Firstly, we calculated a time difference distribution model based on training sets of impact data constructed by a grid of measuring points. Secondly, this model was used to estimate the impact position of test data sets using three different methods. Best performance for each racket-rubber combination was achieved with a linear regression based method yielding a RMSE in x-direction (transversal racket direction) of 22.1 mm and a RMSE of 19.8 mm in y-direction (longitudinal racket direction). The measuring system is small enough to be completely invisibly integrated into table tennis rackets. This contribution is the first attempt to address a ball impact localization system for table tennis rackets that has the potential to be used in real-world training exercises and competitions to assist table tennis players during matches and to support the athletes' training progress.



How to cite
APA: Blank, P., Kautz, T., & Eskofier, B. (2016). Ball impact localization on table tennis rackets using piezo-electric sensors. In Proceedings of the 2016 ACM International Symposium on Wearable Computers (pp. 72-79). Association for Computing Machinery, Inc.

MLA: Blank, Peter, Thomas Kautz, and Björn Eskofier. "Ball impact localization on table tennis rackets using piezo-electric sensors." Proceedings of the The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Deutschland Association for Computing Machinery, Inc, 2016. 72-79.

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