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Paper Abstract and Keywords
Presentation 2022-12-22 16:50
[Poster Presentation] Automobile cabin sensing through acoustic frequency response
Yoshitaka Kawabe, Yuji Wada, Kentaro Nakamura (Tokyo Tech) US2022-59
Abstract (in Japanese) (See Japanese page) 
(in English) There is a growing demand for automobile cabin sensing to deal with the recently reported incidents of children being left behind in the cabin. A method based on the combination of multiple sensors has been proposed for the problem, but it requires additional device installation and cost. In this report, we propose an easy-to-install sensing system for automobile cabin that utilizes the audio equipment already existing in the cabin.
Microphones and loudspeakers built in the cabin are used to acquire the acoustic frequency characteristics of the cabin, which can be used to estimate the presence/absence and seating position of passengers, and open/close status of the windows. In this report, a simple judgement formula was proposed to detect changes in the frequency characteristics and natural frequencies. Being based on the proposed method, series of experiments were carried out to detect person(s) on a vehicle. We confirmed that the presence/absence and position change of a person was able to be detected with a good accuracy. The seating position was successfully estimated in the same way by sensing the presence/absence for each seat and integrating the information for all the seats. We also confirmed that the same method was applicable to detect the open/close of windows independently of the presence/absence of passengers.
Keyword (in Japanese) (See Japanese page) 
(in English) Acoustics characteristics / frequency response / car cabin / child presence detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 323, US2022-59, pp. 44-49, Dec. 2022.
Paper # US2022-59 
Date of Issue 2022-12-15 (US) 
ISSN Online edition: ISSN 2432-6380
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 US2022-59

Conference Information
Committee EA US  
Conference Date 2022-12-22 - 2022-12-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Campus Hiroshima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) [Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, etc. 
Paper Information
Registration To US 
Conference Code 2022-12-EA-US 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automobile cabin sensing through acoustic frequency response 
Sub Title (in English)  
Keyword(1) Acoustics characteristics  
Keyword(2) frequency response  
Keyword(3) car cabin  
Keyword(4) child presence detection  
1st Author's Name Yoshitaka Kawabe  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yuji Wada  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Kentaro Nakamura  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2022-12-22 16:50:00 
Presentation Time 120 minutes 
Registration for US 
Paper # US2022-59 
Volume (vol) vol.122 
Number (no) no.323 
Page pp.44-49 
Date of Issue 2022-12-15 (US) 

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