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Authors: Marko Topalovic 1 ; Simon Eyers 2 ; Vasileios Exadaktylos 3 ; Jan Olbrecht 3 ; Daniel Berckmans 3 and Jean-Marie Aerts 3

Affiliations: 1 University Hospital Leuven, Department of Clinical and Experimental Medicine, KU Leuven and KU Leuven, Belgium ; 2 Measure, Model & Manage Bioresponses (M3 BIORES), Department of Biosystems, KU Leuven, Leuven and Belgium, Belgium ; 3 KU Leuven, Belgium

ISBN: 978-989-758-057-4

Keyword(s): Swimming, Accelerometer, Stroke Recognition, Activity Monitoring.

Related Ontology Subjects/Areas/Topics: Coaching ; Health and Fitness ; Health, Sports Performance and Support Technology ; Sport Science Research and Technology ; Training and Testing

Abstract: In the process of optimizing training efficiency and improving results of the athletes, technology has increasing share. Wearable sensors, especially those measuring motion are lately acquiring more and more interest. In this paper, we aimed to develop online monitoring tool of swimming training, more in particular algorithm for detection of swimming and turning events using 3D accelerometer. Additionally, algorithm should be able to discriminate between performed swimming styles. This study included data of 10 swimmers who swam on predefined protocol for 1200m. Each swimmer was equipped with wireless waterproof 3D accelerometer attached over right wrist. Algorithm showed high accuracy of 100% for detection of swimming and turning activity. Additionally, detection of swimming styles such as crawl, breaststroke and backstroke resulted of 100% true positive rate. However, true positive rate decreased to 95% for detection of butterfly event. To conclude, we demonstrate that swimming acti vity together with style recognition can be registered using wireless waterproof 3D accelerometer. Furthermore, we show that such detection can be automatized and performed in an online mode. Taken together, this development leads to a useful online monitoring tool of swimming training. (More)

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Paper citation in several formats:
Topalovic, M.; Eyers, S.; Exadaktylos, V.; Olbrecht, J.; Berckmans, D. and Aerts, J. (2014). Online Monitoring of Swimmer Training Using a 3D Accelerometer - Identifying Swimming and Swimming Style.In Proceedings of the 2nd International Congress on Sports Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-057-4, pages 111-115. DOI: 10.5220/0005134501110115

@conference{icsports14,
author={Marko Topalovic. and Simon Eyers. and Vasileios Exadaktylos. and Jan Olbrecht. and Daniel Berckmans. and Jean{-}Marie Aerts.},
title={Online Monitoring of Swimmer Training Using a 3D Accelerometer - Identifying Swimming and Swimming Style},
booktitle={Proceedings of the 2nd International Congress on Sports Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2014},
pages={111-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005134501110115},
isbn={978-989-758-057-4},
}

TY - CONF

JO - Proceedings of the 2nd International Congress on Sports Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Online Monitoring of Swimmer Training Using a 3D Accelerometer - Identifying Swimming and Swimming Style
SN - 978-989-758-057-4
AU - Topalovic, M.
AU - Eyers, S.
AU - Exadaktylos, V.
AU - Olbrecht, J.
AU - Berckmans, D.
AU - Aerts, J.
PY - 2014
SP - 111
EP - 115
DO - 10.5220/0005134501110115

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