article

Fast track article: Swimming performance and technique evaluation with wearable acceleration sensors

Authors:

Gerhard TrösterAuthors Info & Claims

Pervasive and Mobile Computing, Volume 8, Issue 1

Pages 68 - 81

https://doi.org/10.1016/j.pmcj.2011.05.003

Published: 01 February 2012 Publication History

Abstract

We are working towards a wearable computing system called SwimMaster, that will support swimmers in achieving their desired exercise goals by monitoring their swimming performance and technique and providing the necessary feedback. In this article, we describe our methods to extract the most relevant swimming performance and technique parameters from acceleration sensors worn at the wrist and at the back. We analyze the data and our methods with a SwimModel. Finally, we present the results of our evaluation studies with 18 swimmers-seven elite, eight recreational and three occasional swimmers.

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Cited By

Wang ZShi XWang JGao FLi JGuo MZhao HQiu S(2019)Swimming Motion Analysis and Posture Recognition Based on Wearable Inertial Sensors2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)10.1109/SMC.2019.8913847(3371-3376)Online publication date: 6-Oct-2019
https://dl.acm.org/doi/10.1109/SMC.2019.8913847
Whitlock JKrand OJain SJansen KAshok A(2018)Understanding activity segmentation for multi-sport competitionsProceedings of the 4th ACM Workshop on Wearable Systems and Applications10.1145/3211960.3211972(16-20)Online publication date: 10-Jun-2018
https://dl.acm.org/doi/10.1145/3211960.3211972
Yamashita SZhang XMiyaki TSuwa SRekimoto JMistry PMaes PSeigneur JNanayakkara SParadiso J(2017)Visualizing water flows with transparent tracer particles for a surround-screen swimming poolProceedings of the 8th Augmented Human International Conference10.1145/3041164.3041171(1-10)Online publication date: 16-Mar-2017
https://dl.acm.org/doi/10.1145/3041164.3041171
Show More Cited By

Index Terms

Fast track article: Swimming performance and technique evaluation with wearable acceleration sensors
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

Index terms have been assigned to the content through auto-classification.

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Copyright © Elsevier B.V. © 2011.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 February 2012

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Cited By

Wang ZShi XWang JGao FLi JGuo MZhao HQiu S(2019)Swimming Motion Analysis and Posture Recognition Based on Wearable Inertial Sensors2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)10.1109/SMC.2019.8913847(3371-3376)Online publication date: 6-Oct-2019
https://dl.acm.org/doi/10.1109/SMC.2019.8913847
Whitlock JKrand OJain SJansen KAshok A(2018)Understanding activity segmentation for multi-sport competitionsProceedings of the 4th ACM Workshop on Wearable Systems and Applications10.1145/3211960.3211972(16-20)Online publication date: 10-Jun-2018
https://dl.acm.org/doi/10.1145/3211960.3211972
Yamashita SZhang XMiyaki TSuwa SRekimoto JMistry PMaes PSeigneur JNanayakkara SParadiso J(2017)Visualizing water flows with transparent tracer particles for a surround-screen swimming poolProceedings of the 8th Augmented Human International Conference10.1145/3041164.3041171(1-10)Online publication date: 16-Mar-2017
https://dl.acm.org/doi/10.1145/3041164.3041171
Wang ZJiaxin Wang Zhao HNing Yang Fortino G(2016)CanoeSense: Monitoring canoe sprint motion using wearable sensors2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2016.7844313(000644-000649)Online publication date: 9-Oct-2016
https://dl.acm.org/doi/10.1109/SMC.2016.7844313
Pan MHuang KLu TLin Z(2016)Using accelerometer for counting and identifying swimming strokesPervasive and Mobile Computing10.1016/j.pmcj.2016.01.01131:C(37-49)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.011
Dadashi FMillet GAminian K(2015)A Bayesian approach for pervasive estimation of breaststroke velocity using a wearable IMUPervasive and Mobile Computing10.1016/j.pmcj.2014.03.00119:C(37-46)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.pmcj.2014.03.001

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