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Toward classification of swimming style by using underwater wireless accelerometer data

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Published:07 September 2015Publication History

ABSTRACT

The use of technical refinement is playing an important role in the process of optimizing training efficiency and improving results of athletes. Therefore, we aim to develop an online monitoring and feedback tool to follow the swimming training using a single waterproofed and wireless motion sensor attached on the swimmers center of body (back). In this paper, as the first step, we investigated the feature quantities to discriminate four swimming styles using the data of a single three-axis accelerometer. We found that there was a possibility that the combination of simple feature quantities could be used to discriminate four swimming styles.

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    • Published in

      cover image ACM Conferences
      UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
      September 2015
      1626 pages
      ISBN:9781450335751
      DOI:10.1145/2800835

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 September 2015

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      Overall Acceptance Rate764of2,912submissions,26%

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