フルテキストファイル
著者
Maruoka Takehiro Graduate School of Engineering, Tottori University
Kambe Kenta Graduate School of Engineering, Tottori University
Harada Hideki Graduate School of Engineering, Tottori University
Nakanishi Isao Graduate School of Engineering, Tottori University 鳥取大学研究者総覧 KAKEN研究者をさがす
NDC分類
5類 技術・工学・工業
抄録
Biometrics have been used in person authentication. However, conventional biometrics have a vulnerability to the identity theft, especially in user management systems. In order to prevent the identity theft, the effective way is to authenticate continuously. However, the continuous authentication requires unconscious biometrics. The authors have been studied to use brain waves as the unconscious biometrics. In conventional studies, the authors had used spontaneous brain waves; however, their verification performance was not so high. Thus, the authors propose to use evoked potentials by supersonic sounds, which cannot be perceived by human beings. In this paper, the authors examine the characteristics of evoked potentials by supersonic sounds and confirm that the spectrum in the band is increased at the electrodes on the back of the head. This phenomenon could be used as an individual feature in person verification.
出版者
IEEE
資料タイプ
会議資料
外部リンク
https://ieeexplore.ieee.org/abstract/document/8228034/
ISSN・ISBN
2159-3450
掲載誌名
TENCON 2017 - 2017 IEEE Region 10 Conference
最新掲載誌名
TENCON 2017 - 2017 IEEE Region 10 Conference
開始ページ
1171
終了ページ
1174
発行日
2017
DOI
著者版フラグ
著者版
著作権表記
© © 2017 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
TENCON 2017 - 2017 IEEE Region 10 Conference. 2017, 1171-1174
部局名
工学部・工学研究科
言語
英語