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| Presentation | 2021-11-18 14:35 Respiratory Measurement of Multiple People Using Millimeter-Wave Radar Takuya Sakamoto, Takato Koda (Kyoto Univ.), Shigeaki Okumura, Hirofumi Taki (MaRI)  MW2021-69 Link to ES Tech. Rep. Archives: MW2021-69 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we propose a non-contact respiratory sensing technique for multiple people using millimeter-wave array radar. We focus on the characteristics of respiratory signals and propose a new technique for the separation and clustering of signals. This technique exploits individual differences in respiration patterns. The proposed method, called respiratory-space clustering, can achieve higher spatial resolution than conventional methods and can accurately separate radar echoes from multiple people in close proximity. Furthermore, the proposed method can be applied to situations where the number of subjects is unknown, because the proposed method can also estimate the number of subjects and their positions. We validate the performance of the proposed method by measuring seven participants. Through our experiments, we show that the average estimation error of the respiratory interval using the proposed method is 172 ms, which is sufficiently small compared with the typical respiratory interval of healthy adults (3-5 s). Furthermore, the accuracy of the proposed method in estimating the number of target people was 97.6%, which shows a significant improvement over conventional methods. These results demonstrate the effectiveness and high accuracy of the proposed radar-based method for measuring the respiration of multiple people. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | antenna arrays / clustering methods / Doppler radar / radar measurements / radar imaging / radar signal processing / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 254, MW2021-69, pp. 15-18, Nov. 2021. | |
| Paper # | MW2021-69 | |
| Date of Issue | 2021-11-11 (MW) | |
| 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 | MW2021-69 Link to ES Tech. Rep. Archives: MW2021-69 |
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| Conference Information | |
| Committee | MW |
| Conference Date | 2021-11-18 - 2021-11-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagoshima University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Microwave |
| Paper Information | |
| Registration To | MW |
| Conference Code | 2021-11-MW |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Respiratory Measurement of Multiple People Using Millimeter-Wave Radar |
| Sub Title (in English) | |
| Keyword(1) | antenna arrays |
| Keyword(2) | clustering methods |
| Keyword(3) | Doppler radar |
| Keyword(4) | radar measurements |
| Keyword(5) | radar imaging |
| Keyword(6) | radar signal processing |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takuya Sakamoto |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Takato Koda |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Shigeaki Okumura |
| 3rd Author's Affiliation | MaRI Co., Ltd. (MaRI) |
| 4th Author's Name | Hirofumi Taki |
| 4th Author's Affiliation | MaRI Co., Ltd. (MaRI) |
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| Speaker | Author-1 |
| Date Time | 2021-11-18 14:35:00 |
| Presentation Time | 25 minutes |
| Registration for | MW |
| Paper # | MW2021-69 |
| Volume (vol) | vol.121 |
| Number (no) | no.254 |
| Page | pp.15-18 |
| #Pages | 4 |
| Date of Issue | 2021-11-11 (MW) |
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