Paper Abstract and Keywords |
Presentation |
2020-03-06 10:10
A Study on Diving Phase Classification toward Coaching Support for Competitive Swimming Soichiro Hashimoto, Yoshiteru Yamamoto, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2019-55 IE2019-137 MVE2019-76 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The performance of diving in competitive swimming is a key factor to get a good time record.The problem on the diving form can be efficiently found if competitive swimmers and/or their coaches can recognize their diving form in detail.It is, however, difficult to recognize and understand the diving motion only by visual check, which causes the difficulty in coaching.Thus, this research aims to develop a system for efficient coaching support by quantitatively evaluate the diving motion in competitive swimming.This paper studies a machine learning-based method for diving phase classification toward realizing a coaching support system for competitive swimming.The method first takes a performance video of diving motion, and then classifies each video frame into three phases: Block, Flight, and Entry.Here, the method tries to improve the classification accuracy by increasing the training data using data augmentation as a pre-processing for machine learning.The method applies two kinds of image transformations original videos: rotation and cropping with scaling, in order to simulate the change of the camera settings.We evaluated the method through experiments, and confirmed that the data augmentation improved the classification accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Competitive swimming / diving / data augmentation / machine learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 457, MVE2019-76, pp. 205-208, March 2020. |
Paper # |
MVE2019-76 |
Date of Issue |
2020-02-27 (IMQ, IE, MVE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
IMQ2019-55 IE2019-137 MVE2019-76 |
Conference Information |
Committee |
IE IMQ MVE CQ |
Conference Date |
2020-03-05 - 2020-03-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MVE |
Conference Code |
2020-03-IE-IMQ-MVE-CQ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Diving Phase Classification toward Coaching Support for Competitive Swimming |
Sub Title (in English) |
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Keyword(1) |
Competitive swimming |
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diving |
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data augmentation |
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machine learning |
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1st Author's Name |
Soichiro Hashimoto |
1st Author's Affiliation |
Chukyo University (Chukyo Univ.) |
2nd Author's Name |
Yoshiteru Yamamoto |
2nd Author's Affiliation |
Chukyo University (Chukyo Univ.) |
3rd Author's Name |
Keisuke Doman |
3rd Author's Affiliation |
Chukyo University (Chukyo Univ.) |
4th Author's Name |
Yoshito Mekada |
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Chukyo University (Chukyo Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-06 10:10:00 |
Presentation Time |
25 minutes |
Registration for |
MVE |
Paper # |
IMQ2019-55, IE2019-137, MVE2019-76 |
Volume (vol) |
vol.119 |
Number (no) |
no.454(IMQ), no.456(IE), no.457(MVE) |
Page |
pp.205-208 |
#Pages |
4 |
Date of Issue |
2020-02-27 (IMQ, IE, MVE) |
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