| Paper Abstract and Keywords |
| Presentation |
2026-07-16 15:20
Non-Contact Heartbeat Measurement Using Multiple Doppler Sensors During Typing and Speaking Naoki Torii, Yusuke Yano, Jianqing Wang (NITech), Shinji Uebayashi (Keycom) EMCJ2026-21 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Non-contact heart rate monitoring using Doppler sensors has been actively researched as an unobtrusive vital sign measurement technique. However, since the body surface displacement induced by heartbeats is extremely minute, accurately extracting heartbeats in environments contaminated by noise from daily body movements, such as typing and speaking, remains a significant challenge. To address this issue, this study proposes a novel R-R interval (RRI) estimation algorithm with improved robustness against body movement artifacts. The proposed method establishes a common baseline across three sensors based on past RRI estimates to detect and remove outliers caused by body movement noise. Furthermore, the estimation results from each sensor are integrated, and the optimal RRI is selected by introducing a reliability score that considers the number of calculated RRIs and the number of sensors contributing to the calculation. Evaluation experiments conducted on adult subjects during typing and speaking demonstrated that the RMSE rate was below 10 % in 10 of the 11 measurement cases. These results indicate that the proposed method enables highly accurate non-contact heart rate monitoring even in work environments that require typing or speaking. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Millimeter Wave Doppler Sensor / Template Matching / Heartbeat Measurement / Optimal value Extraction / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 114, EMCJ2026-21, pp. 29-34, July 2026. |
| Paper # |
EMCJ2026-21 |
| Date of Issue |
2026-07-09 (EMCJ) |
| 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 |
EMCJ2026-21 |
| Conference Information |
| Committee |
EMCJ |
| Conference Date |
2026-07-16 - 2026-07-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
EMCJ |
| Conference Code |
2026-07-EMCJ |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Non-Contact Heartbeat Measurement Using Multiple Doppler Sensors During Typing and Speaking |
| Sub Title (in English) |
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| Keyword(1) |
Millimeter Wave Doppler Sensor |
| Keyword(2) |
Template Matching |
| Keyword(3) |
Heartbeat Measurement |
| Keyword(4) |
Optimal value Extraction |
| Keyword(5) |
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| 1st Author's Name |
Naoki Torii |
| 1st Author's Affiliation |
Nagoya Institute of Technology (NITech) |
| 2nd Author's Name |
Yusuke Yano |
| 2nd Author's Affiliation |
Nagoya Institute of Technology (NITech) |
| 3rd Author's Name |
Jianqing Wang |
| 3rd Author's Affiliation |
Nagoya Institute of Technology (NITech) |
| 4th Author's Name |
Shinji Uebayashi |
| 4th Author's Affiliation |
Keycom Corporation (Keycom) |
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| Speaker |
Author-1 |
| Date Time |
2026-07-16 15:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
EMCJ |
| Paper # |
EMCJ2026-21 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.114 |
| Page |
pp.29-34 |
| #Pages |
6 |
| Date of Issue |
2026-07-09 (EMCJ) |