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Paper Abstract and Keywords
Presentation 2024-01-19 14:55
Dataset Generation System for Hand Gesture Recognition Using FMCW-MIMO Radar
Katsuhisa Kashiwagi (Murata Manufacturing/Yokohama National Univ.), Koichi Ichige (Yokohama National Univ.) IT2023-72 SIP2023-105 RCS2023-247
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a dataset generation system for hand gesture recognition using Frequency Modulated Continuous Wave (FMCW)-Multi Input Multi Output (MIMO) radar to improve classification performance in a different way from conventional methods such as open dataset, other data generators using generative adversarial networks (GANs) and motion capture tools. The proposed system consists of a gesture trajectory generator, an intermediate frequency (IF) signal generator corresponding to antenna locations and a sampling timing generator without any open datasets and any motion capture data employing other sensors. After the training is performed by the generated dataset, the testing is carried out by actual data from FMCW-MIMO radar. The result shows an accuracy of 97%, and the proposed system is available for pre-training without using an actual dataset. Furthermore, in the case of using the mixture dataset for the training process, an accuracy improvement reaches 37 points compared to the result by using the actual dataset only.
Keyword (in Japanese) (See Japanese page) 
(in English) FMCW-MIMO radar / hand gesture recognition / dataset generation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 339, SIP2023-105, pp. 229-234, Jan. 2024.
Paper # SIP2023-105 
Date of Issue 2024-01-11 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 IT2023-72 SIP2023-105 RCS2023-247

Conference Information
Committee SIP IT RCS  
Conference Date 2024-01-18 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2024-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dataset Generation System for Hand Gesture Recognition Using FMCW-MIMO Radar 
Sub Title (in English)  
Keyword(1) FMCW-MIMO radar  
Keyword(2) hand gesture recognition  
Keyword(3) dataset generation  
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1st Author's Name Katsuhisa Kashiwagi  
1st Author's Affiliation Murata Manufacturing/Yokohama National University (Murata Manufacturing/Yokohama National Univ.)
2nd Author's Name Koichi Ichige  
2nd Author's Affiliation Yokohama National University (Yokohama National Univ.)
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Speaker Author-1 
Date Time 2024-01-19 14:55:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # IT2023-72, SIP2023-105, RCS2023-247 
Volume (vol) vol.123 
Number (no) no.338(IT), no.339(SIP), no.340(RCS) 
Page pp.229-234 
#Pages 6 
Date of Issue 2024-01-11 (IT, SIP, RCS) 

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