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Paper Abstract and Keywords
Presentation 2026-05-14 09:15
Reservoir Computing-based Wi-Fi CSI for People Counting
Hinaki Sugiura, Yusuke Fukazawa, Masakatsu Ogawa (Sophia Univ) SeMI2026-1
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, crowd monitoring and pedestrian counting in railway stations and public spaces have become increasingly important for safety management and facility operations. While conventional camera-based approaches are highly effective, they raise concerns regarding privacy protection and installation costs. This study proposes a method for estimating the number of pedestrians within a short time interval by utilizing Channel State Information (CSI) obtained from publicly deployed wireless LAN beacons, without relying on cameras. As the machine learning model, we employ Reservoir Computing (RC), which is well suited for time-series data processing. RC requires relatively low computational cost for training and enables real-time processing, making it highly compatible with edge computing environments. In this study, we aim to realize lightweight edge AI by introducing RC into Integrated Sensing and Communication (ISAC). We developed an RC-based model and compared its performance with RNN, LSTM, and CNN models. Experimental results demonstrate that the RC model achieves both fast training and highly accurate pedestrian count estimation.
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 126, no. 15, SeMI2026-1, pp. 1-6, May 2026.
Paper # SeMI2026-1 
Date of Issue 2026-05-07 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee SeMI IPSJ-MBL IPSJ-ITS IPSJ-DPS  
Conference Date 2026-05-13 - 2026-05-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To SeMI 
Conference Code 2026-05-SeMI-MBL-ITS-DPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reservoir Computing-based Wi-Fi CSI for People Counting 
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1st Author's Name Hinaki Sugiura  
1st Author's Affiliation Sophia University (Sophia Univ)
2nd Author's Name Yusuke Fukazawa  
2nd Author's Affiliation Sophia University (Sophia Univ)
3rd Author's Name Masakatsu Ogawa  
3rd Author's Affiliation Sophia University (Sophia Univ)
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Speaker Author-1 
Date Time 2026-05-14 09:15:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2026-1 
Volume (vol) vol.126 
Number (no) no.15 
Page pp.1-6 
#Pages
Date of Issue 2026-05-07 (SeMI) 


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