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Paper Abstract and Keywords
Presentation 2021-11-26 15:00
[Poster Presentation] Study of Respiratory Rate Estimation Based on WiFi Frame Capture
Takamochi Kanda, Takashi Sato, Hiromitsu Awano, Sota, Koji Yamamoto (Kyoto Univ.) SRW2021-44 SeMI2021-43 CNR2021-18
Abstract (in Japanese) (See Japanese page) 
(in English) This paper introduces a method of respiratory rate estimation based on frame capture of wireless local area network (WLAN). This method uses beamforming feedback matrices (BFMs) contained in the current WLAN frames to estimate the respiratory rate. BFMs are given as right singular matrix in the singular value decomposition of the channel state information (CSI) matrix, where they are transmitted without encryption and can be easily obtained by frame capture. Thus, compared to the conventional CSI-based respiratory rate estimation methods, our method does not require any firmware modifications or special chipsets. In addition, our method performs respiratory rate estimation based on signal processing approaches without using a learning-based one. Specifically, it firstly captures the subject's chest fluctuations using principal component analysis (PCA), and subsequently extracts the frequency corresponding to the respiratory rate using discrete fourier transform (DFT). As a result of the experiment, the proposed method can estimate the respiratory rate of a person sitting in a chair with an error of less than 3.5 breaths/minute.
Keyword (in Japanese) (See Japanese page) 
(in English) respiratory rate estimation / frame capture / IEEE 802.11ax / wireless sensing / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 266, SeMI2021-43, pp. 47-49, Nov. 2021.
Paper # SeMI2021-43 
Date of Issue 2021-11-18 (SRW, SeMI, CNR) 
ISSN Online edition: ISSN 2432-6380
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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 SRW2021-44 SeMI2021-43 CNR2021-18

Conference Information
Committee SRW SeMI CNR  
Conference Date 2021-11-25 - 2021-11-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SeMI 
Conference Code 2021-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Respiratory Rate Estimation Based on WiFi Frame Capture 
Sub Title (in English)  
Keyword(1) respiratory rate estimation  
Keyword(2) frame capture  
Keyword(3) IEEE 802.11ax  
Keyword(4) wireless sensing  
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1st Author's Name Takamochi Kanda  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Takashi Sato  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Hiromitsu Awano  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Sota  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
5th Author's Name Koji Yamamoto  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2021-11-26 15:00:00 
Presentation Time 120 minutes 
Registration for SeMI 
Paper # SRW2021-44, SeMI2021-43, CNR2021-18 
Volume (vol) vol.121 
Number (no) no.265(SRW), no.266(SeMI), no.267(CNR) 
Page pp.60-62(SRW), pp.47-49(SeMI), pp.37-39(CNR) 
#Pages
Date of Issue 2021-11-18 (SRW, SeMI, CNR) 


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