File
Authors
Baba, Sadanao
Miyamoto, Chisei
Abstract
From the viewpoint of user management, continuous authentication is effective. However, general biometrics such as fingerprint, iris, vein, and so on are not suitable for the continuous verification since they require conscious presentation of biometric data. As unconscious biometrics, to use a brain wave (electroencephalogram: EEG) has been proposed but conventional approaches require heavy computational load for feature extraction and verification and it becomes a problem for practical applications. In this paper, we propose new features: the concavity and convexity of spectral distribution in the alpha band and propose to fuse them with a spectral variance in verification. The proposed methods are achieved with low computational load. In our experiments using 23 subjects, EER of 11% is obtained and it is comparable with the performance of conventional approaches.
Publisher
IEEE
Content Type
Conference Paper
Link
ISSN・ISBN
978-1-4244-5015-2
Journal Title
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2009 (ISPACS2009)
Current Journal Title
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2009 (ISPACS2009)
Start Page
651
End Page
654
Published Date
2009
Publisher-DOI
Text Version
Author
Rights
© © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Citation
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2009 (ISPACS2009). 2009, 651-654
Department
Faculty of Engineering/Graduate School of Engineering
Language
English