User Verification Using Evoked EEG by Invisible Visual Stimulation

Author:

RAHMAN Atikur1,KINJO Nozomi2,NAKANISHI Isao1

Affiliation:

1. Tottori University

2. DENSO TEN

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Reference26 articles.

1. [1] A. Jain, R. Bolle, and S. Pankanti, Biometrics: Personal Identification in Networked Society, Kluwer Academic Publishers, 1999. 10.1007/b117227

2. [2] A.A. Abdulwahid, N. Clarke, I. Stengel, S. Furnell, and C. Reich, “Continuous and transparent multimodal authentication: Reviewing the state of the art,” Cluster Comput., vol.19, pp.455-474, 2016. 10.1007/s10586-015-0510-4

3. [3] A.F. Baig and S. Eskeland, “Security, privacy, and usability in continuous authentication: A survey,” Sensors, vol.21, no.17, pp.1-26, 2021. 10.3390/s21175967

4. [4] M. Poulos, M. Rangoussi, V. Chrissikopoulos, and A. Evangelou, “Person identification based on parametric processing of the EEG,” Proc. 9th IEEE International Conference on Electronics, Circuits and Systems, vol.1, pp.283-286, 1999. 10.1109/icecs.1999.812278

5. [5] R.B. Paranjape, J. Mahovsky, L. Benedicent, and Z. Koles, “The electroencephalogram as a biometric,” Proc. 2001 Canadian Conference on Electrical and Computer Engineering, vol.2, pp.1363-1366, 2001. 10.1109/ccece.2001.933649

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