フルテキストファイル
著者
Baba Sadanao Tottori University
Miyamoto Chisei Tottori University
NDC分類
5類 技術・工学・工業
抄録
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.
出版者
IEEE
資料タイプ
会議資料
外部リンク
https://ieeexplore.ieee.org/abstract/document/5383756/
ISSN・ISBN
978-1-4244-5015-2
掲載誌名
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2009 (ISPACS2009)
最新掲載誌名
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2009 (ISPACS2009)
開始ページ
651
終了ページ
654
発行日
2009
DOI
著者版フラグ
著者版
著作権表記
© © 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.
掲載情報
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2009 (ISPACS2009). 2009, 651-654
部局名
工学部・工学研究科
言語
英語