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Paper Abstract and Keywords
Presentation 2025-03-06 10:55
A Proposal for Human Presence Detection Using Bluetooth Channel Sounding
Hiroya Nakata, Viktor Erdelyi (Osaka Univ.), Chaoran Li, Kenji Kato, Akira Uchiyama (Osaka Univ.) CAS2024-106 CS2024-92
Abstract (in Japanese) (See Japanese page) 
(in English) Accidents involving children being left behind in vehicles have become a serious social issue both domestically and internationally. To prevent such incidents, various methods using devices such as weight sensors, cameras, and millimeter-wave radars have been proposed, some of which have already been put into practical use. However, these approaches face challenges such as high implementation costs and limited space for additional wiring inside vehicles. To address these issues, we focus on Bluetooth devices, which are widely installed in many vehicles, and investigate human detection using Bluetooth Channel Sounding. Channel Sounding is a technique primarily used for ranging, capable of obtaining high-precision phase information across multiple channels. When an object that affects radio waves, such as a human, is present near a Bluetooth device, the phase information obtained through Channel Sounding is expected to exhibit variations. In this study, we leverage changes in phase information and apply machine learning for human detection. We constructed an environment simulating a vehicle interior inside a shielded room and evaluated classification accuracy using a Random Forest model to distinguish between humans and objects such as plastic bottles and cans. As a result, the recall for detecting humans was found to be 0.982, and the precision was 1.0.
Keyword (in Japanese) (See Japanese page) 
(in English) Bluetooth Channel Sounding / Human Detection / Machine Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 416, CS2024-92, pp. 13-18, March 2025.
Paper # CS2024-92 
Date of Issue 2025-02-27 (CAS, CS) 
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 CAS2024-106 CS2024-92

Conference Information
Committee CAS CS  
Conference Date 2025-03-06 - 2025-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. 
Paper Information
Registration To CS 
Conference Code 2025-03-CAS-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal for Human Presence Detection Using Bluetooth Channel Sounding 
Sub Title (in English)  
Keyword(1) Bluetooth Channel Sounding  
Keyword(2) Human Detection  
Keyword(3) Machine Learning  
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1st Author's Name Hiroya Nakata  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Viktor Erdelyi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Chaoran Li  
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4th Author's Name Kenji Kato  
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5th Author's Name Akira Uchiyama  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2025-03-06 10:55:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CAS2024-106, CS2024-92 
Volume (vol) vol.124 
Number (no) no.415(CAS), no.416(CS) 
Page pp.13-18 
#Pages 6 
Date of Issue 2025-02-27 (CAS, CS) 

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