File
Authors
Baba, Sadanao
Ozaki, Kotaro
Li, Shigang
Keywords
brain wave
EEG
on-demand authentication
transparent biometrics
driver authentication
route trace
simplified driving simulator
Abstract
Conventional biometric systems mainly assume one-timeonly authentication. However, this technique is not used with user management applications. If a user is replaced by an imposter after the authentication has occurred, the systems cannot detect such a replacement. One solution to this problem is on-demand-authentication, in which users are authenticated on a regular or nonregular schedule, as determined by the system. However, the on-demand-authentication technique requires that we present biometric data without regard to do so. In this paper, we focus on the use of brain waves as transparent biometric signals. In particular, we assume driver authentication and measure the brain waves of drivers when they are performing mental tasks such as tracing routes or using a simplified driving simulator as an actual task. We propose to extract the power spectrum in the α–β band as an individual feature and propose two verification methods based on the similarity of the features. In addition, we propose to divide the α–β band into either four or six partitions and to fuse the similarity scores from all the partitions. We evaluate the verification performance using 23 subjects and obtain an equal error rate of 20-25 %.
Publisher
Inderscience
Content Type
Journal Article
Link
ISSN・ISBN
1755-8301
Journal Title
International Journal of Biometrics
Current Journal Title
International Journal of Biometrics
Volume
5
Issue
3-4
Start Page
288
End Page
305
Published Date
2013
Publisher-DOI
Text Version
Author
Rights
copyright©2013 Inderscience
Citation
International Journal of Biometrics. 2013, 5(3-4), 288-305
Department
Faculty of Engineering/Graduate School of Engineering
Language
English