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 |
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) |
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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) |
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respiratory rate estimation |
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frame capture |
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IEEE 802.11ax |
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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 |
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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 |
3 |
Date of Issue |
2021-11-18 (SRW, SeMI, CNR) |