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SwimSense: Monitoring Swimming Motion Using Body Sensor Networks

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 9864))

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Abstract

In order to effectively improve training quality of the swimmers, the activity monitoring technology based on body sensor networks (BSN) may be qualified for this task. In this paper, a monitoring system (SwimSense) for human swimming training locomotion based on BSN is established. SwimSense includes six measurement nodes, which can monitor the swimming strokes of several swimmers synchronously. The receiving node is connected with personal computer (PC) through USB cable, which allows the collected motion data can be transmitted to PC through wireless radio frequency communication, and the collected data can be used to motion analysis. The preliminary monitoring system mainly has two functions, at the first place, different swimming strokes may be recognized by using the monitoring system, and the selective classifier is Hidden Markov Model, and then according to the results of classification and the characters of different swimming strokes, phase segmentation of each swimming stroke is executed by using Support Vector Machine for the detailed research in the future.

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Acknowledgments

This work was supported by National Natural Science Foundation of China under Grant No. 61473058, Fundamental Research Funds for the Central Universities (DUT15ZD114), and National Natural Science Foundation of China under Grant No. 61174027.

Author information

Authors and Affiliations

  1. School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China

    Jiaxin Wang, Zhelong Wang & Ming Guo

  2. Department of Physical Education, Dalian University of Technology, Dalian, China

    Fengshan Gao

Authors
  1. Jiaxin Wang
  2. Zhelong Wang
  3. Fengshan Gao
  4. Ming Guo

Corresponding author

Correspondence toJiaxin Wang.

Editor information

Editors and Affiliations

  1. Wuhan University of Technology , Wuhan, China

    Wenfeng Li

  2. Central Queensland University , North Rockhampton, Queensland, Australia

    Shawkat Ali

  3. Delft University of Technology , Delft, The Netherlands

    Gabriel Lodewijks

  4. University of Calabria , Rende (CS), Italy

    Giancarlo Fortino

  5. University of Reading , Reading, United Kingdom

    Giuseppe Di Fatta

  6. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  7. CSIRO ICT , Acton, Australia

    Mukaddim Pathan

  8. ICAR-CNR, Rende (CS), Italy

    Antonio Guerrieri

  9. Wuhan University of Technology , Wuhan, China

    Qiang Wang

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© 2016 Springer International Publishing AG

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Wang, J., Wang, Z., Gao, F., Guo, M. (2016). SwimSense: Monitoring Swimming Motion Using Body Sensor Networks. In: Li, W.,et al. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864. Springer, Cham. https://doi.org/10.1007/978-3-319-45940-0_5

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