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Authors
Nakanishi, Isao Faculty of Engineering Tottori University Researchers DB KAKEN
Maruoka, Takehiro Graduate School of Sustainability Sciences Tottori University
Keywords
biometrics
brain wave
EEG
ultrasound
evoked potential
Abstract
In recent years, biometrics such as fingerprints and iris scans has been used in authentication. However, conventional biometrics is vulnerable to identity theft, especially in user management systems. As a new biometric without this vulnerability, we focused on brain waves. In this paper, we show that individuals can be authenticated using evoked potentials when they are subjected to ultrasound. We measured the electroencephalograms (EEGs) of 10 experimental ubjects. Individual features were extracted from the power spectra of the EEGs using the principle component analysis and verification was achieved using the support vector machine. We found that for the proposed authentication method, the equal error rate for a single electrode was about 22-32 %. For a multi-electrode, the equal error rate was 4.4 % using the majority decision rule.
Publisher
IEEE
Content Type
Conference Paper
Journal Title
Proceedings of 2019 42nd International Conference on Telecommunications and Signal Processing (TSP2019)
Start Page
365
End Page
368
Publisher-DOI
Text Version
Author
Rights
© 2019 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
Nakanishi Isao, Maruoka Takehiro. Biometric authentication using evoked potentials stimulated by personal ultrasound. Proceedings of 2019 42nd International Conference on Telecommunications and Signal Processing (TSP), pp. 365-368, Jul. 2019.
Department
Faculty of Engineering/Graduate School of Engineering
Language
English