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| Paper Abstract and Keywords | ||
| Presentation | 2020-03-05 12:30 Biometric authentication based on temperature change of the facial region caused by heartbeat Shutaro Yoshizawa, Hiroshi Yoshiura, Masatsugu Ichino (UEC)  EMM2019-102 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Biometrics has been used in various scenes such as smartphones and airports. Biometrics has advantages and disadvantages for each type of biometric features used. Faces and fingerprints, which are widely used at present, can be presented quickly at the time of authentication, so there is the advantage that the burden on the user is small. On the other hand, there is a disadvantage that it is easy to forge because it is exposed on the surface. For this reason, when using biometrics in situations where safety must be emphasized rather than convenience, such as when entering an important institution or opening a safe, there is a need to use a biometric feature that is not easily stolen by a third party. To solve this problem, authentication using heartbeat has been proposed. Heartbeats have the advantage that they are more difficult to falsify than faces and fingerprints. In previous studies, methods using electrocardiograms and visible cameras have been proposed. However, the method using electrocardiogram has a heavy burden on the user because it is a contact type, and the method using a visible camera has the disadvantage that it is easily affected by lighting environment and skin color. Therefore, the authors are studying a method of acquiring a heartbeat from a temperature change on the face surface that changes with blood flow using thermography. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine learning / Biometrics / Heartbeat / Thermography / Temperature change / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 463, EMM2019-102, pp. 1-6, March 2020. | |
| Paper # | EMM2019-102 | |
| Date of Issue | 2020-02-27 (EMM) | |
| 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 | EMM2019-102 |
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| Conference Information | |
| Committee | EMM |
| Conference Date | 2020-03-05 - 2020-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2020-03-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Biometric authentication based on temperature change of the facial region caused by heartbeat |
| Sub Title (in English) | |
| Keyword(1) | Machine learning |
| Keyword(2) | Biometrics |
| Keyword(3) | Heartbeat |
| Keyword(4) | Thermography |
| Keyword(5) | Temperature change |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shutaro Yoshizawa |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Hiroshi Yoshiura |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
| 3rd Author's Name | Masatsugu Ichino |
| 3rd Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2020-03-05 12:30:00 |
| Presentation Time | 25 minutes |
| Registration for | EMM |
| Paper # | EMM2019-102 |
| Volume (vol) | vol.119 |
| Number (no) | no.463 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (EMM) |
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