Paper Abstract and Keywords |
Presentation |
2019-10-11 16:45
Biometric Authentication Using Multivariate Autoregressive Coefficients for Photic Driving Response Akiyama Shohei (Yamagata Univ.), Takamasa Shimada (Tokyo Denki Univ.), Tadaniri Fukami (Yamagata Univ.) MBE2019-37 NC2019-28 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, various biometrics such as fingerprints and veins have become widespread. However, there is a problem that the biometric feature cannot be changed even if the feature as a password is leaked. In this study, we propose a biometric authentication method using photic driving response generated when visual stimuli are presented to subjects at regular intervals. Using photic driving response as biological features, we can change the biological features by changing characteristics of the visual stimulus such as the interval. The repetitive stimuli generate stationary waveform. We therefore applied a multivariate autoregressive model to photic drive responses because of the stationarity. Here, autoregressive coefficients were used as features for authentication. As a result, the maximum certification rate showed 92.8% for 15 registered subjects. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
biometric authentication / photic driving response / electroencephalography / multivariate autoregressive coefficients / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 224, MBE2019-37, pp. 41-44, Oct. 2019. |
Paper # |
MBE2019-37 |
Date of Issue |
2019-10-04 (MBE, NC) |
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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MBE2019-37 NC2019-28 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2019-10-11 - 2019-10-12 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MBE |
Conference Code |
2019-10-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Biometric Authentication Using Multivariate Autoregressive Coefficients for Photic Driving Response |
Sub Title (in English) |
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biometric authentication |
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photic driving response |
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electroencephalography |
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multivariate autoregressive coefficients |
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1st Author's Name |
Akiyama Shohei |
1st Author's Affiliation |
Yamagata University (Yamagata Univ.) |
2nd Author's Name |
Takamasa Shimada |
2nd Author's Affiliation |
Tokyo Denki University (Tokyo Denki Univ.) |
3rd Author's Name |
Tadaniri Fukami |
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Yamagata University (Yamagata Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-10-11 16:45:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2019-37, NC2019-28 |
Volume (vol) |
vol.119 |
Number (no) |
no.224(MBE), no.225(NC) |
Page |
pp.41-44 |
#Pages |
4 |
Date of Issue |
2019-10-04 (MBE, NC) |