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Paper Abstract and Keywords
Presentation 2023-12-21 10:30
Badminton Rally Analysis Using LSTM
Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki (Kumamoto Univ.) IBISML2023-35
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we analyze badminton rallies as a tactical support technology for sports using AI. In badminton, it is required to capture trends in tactics frequently used by specific players and trends in tactics that change depending on matches and opponents. In order to capture such trends, it is necessary to extract tactical characteristics of each rally and compare rallies appropriately. Therefore, this research was conducted to extract the features of badminton rallies, taking into account the positional coordinates of players, shot types and interactions. In this study, we took the approach of training an LSTM-based AutoEncoder and using it as a feature extractor for rallies. The feature vectors extracted by this approach were used to perform cluster analysis of top players’ game data.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / LSTM / Data Mining / Sports Data / Clustering / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 311, IBISML2023-35, pp. 31-36, Dec. 2023.
Paper # IBISML2023-35 
Date of Issue 2023-12-13 (IBISML) 
ISSN 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 IBISML2023-35

Conference Information
Committee IBISML  
Conference Date 2023-12-20 - 2023-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English) machine learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2023-12-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Badminton Rally Analysis Using LSTM 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) LSTM  
Keyword(3) Data Mining  
Keyword(4) Sports Data  
Keyword(5) Clustering  
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1st Author's Name Atsushi Yoshinaga  
1st Author's Affiliation Kumamoto University (Kumamoto Univ.)
2nd Author's Name Masato Kiyama  
2nd Author's Affiliation Kumamoto University (Kumamoto Univ.)
3rd Author's Name Motoki Amagasaki  
3rd Author's Affiliation Kumamoto University (Kumamoto Univ.)
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Speaker Author-1 
Date Time 2023-12-21 10:30:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2023-35 
Volume (vol) vol.123 
Number (no) no.311 
Page pp.31-36 
#Pages 6 
Date of Issue 2023-12-13 (IBISML) 

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