| Paper Abstract and Keywords |
| Presentation |
2026-07-10 14:05
Signal Quality Evaluation for Radar Respiratory Measurement Using a Human Body Simulator and Machine Learning Motoki Matsushita, Takuya Sakamoto (Kyoto Univ.) EMT2026-37 MW2026-60 OPE2026-43 EST2026-41 MWPTHz2026-52 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In non-contact respiratory measurement using radar, estimation accuracy can decrease depending on the subject's posture and body orientation. Therefore, it is important to evaluate the accuracy in estimating the respiratory motion. This study proposes a machine-learning-based method for predicting estimation accuracy directly from radar signals. To efficiently generate training data under diverse measurement conditions, radar signals are simulated using human body models reconstructed from depth-camera measurements. In addition, recurrence plots are used as the input for the machine learning model. Compared with the conventional method using spectrograms as input, the proposed method improved the correlation coefficient between the actual and predicted values by an average of 3.64% and reduced the root-mean-square error by an average of 3.27%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
millimeter wave / array radar / physiological signals / non-contact sensing / respiration / machine learning / simulation / |
| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 99, EST2026-41, pp. 178-183, July 2026. |
| Paper # |
EST2026-41 |
| Date of Issue |
2026-07-02 (EMT, MW, OPE, EST, MWPTHz) |
| 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 |
EMT2026-37 MW2026-60 OPE2026-43 EST2026-41 MWPTHz2026-52 |
| Conference Information |
| Committee |
OPE EST MWPTHz MW EMT IEE-EMT |
| Conference Date |
2026-07-09 - 2026-07-10 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kushiro Chamber of Commerce and Industry |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Workshop on Optical and Microwave technologies |
| Paper Information |
| Registration To |
EST |
| Conference Code |
2026-07-OPE-EST-MWPTHz-MW-EMT-EMT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Signal Quality Evaluation for Radar Respiratory Measurement Using a Human Body Simulator and Machine Learning |
| Sub Title (in English) |
|
| Keyword(1) |
millimeter wave |
| Keyword(2) |
array radar |
| Keyword(3) |
physiological signals |
| Keyword(4) |
non-contact sensing |
| Keyword(5) |
respiration |
| Keyword(6) |
machine learning |
| Keyword(7) |
simulation |
| Keyword(8) |
|
| 1st Author's Name |
Motoki Matsushita |
| 1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
| 2nd Author's Name |
Takuya Sakamoto |
| 2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-07-10 14:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
EST |
| Paper # |
EMT2026-37, MW2026-60, OPE2026-43, EST2026-41, MWPTHz2026-52 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.96(EMT), no.97(MW), no.98(OPE), no.99(EST), no.100(MWPTHz) |
| Page |
pp.178-183 |
| #Pages |
6 |
| Date of Issue |
2026-07-02 (EMT, MW, OPE, EST, MWPTHz) |