@inproceedings{d068b67f19f94bea83307baf417b9c74,
title = "Toward classification of swimming style by using underwater wireless accelerometer data",
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.",
keywords = "Accelerometer, Classification of swimming style, Coaching, Swimming",
author = "Yoshihisa Kon and Yuto Omae and Kazuki Sakai and Hirotaka Takahashi and Chikara Miyaji and Yoshihisa Sakurai and Takuma Akiduki and Nobuo Ezaki and Kazufumi Nakai",
year = "2015",
month = sep,
day = "7",
doi = "10.1145/2800835.2800875",
language = "English",
series = "UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "85--88",
booktitle = "UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers",
note = "ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 ; Conference date: 07-09-2015 Through 11-09-2015",
}