ID 14542
File
Authors
Rahman, Md Atikur
Nakanishi, Isao Faculty of Engineering Tottori University Researchers DB KAKEN
Keywords
EEG
Event-related potential
Wavelet transform
Imperceptible visual stimuli
Abstract
Person authentication using biometric information has become increasingly popular owing to the fact that continuous authentication is required in most user management systems. This study introduces an individual-related stimulus, instead of common stimuli, to improve the verification performance based on biometric authentication using brain waves evoked by imperceptible visual stimulation. Imperceptible visual stimulation is considered over visual stimulation to overcome obstacles that a user may face when using a system. Compared with previous studies that used circular figures as common stimuli, herein, we ensured a higher evoked response by using individual face image stimulation. Imperceptible stimuli were confirmed by changing the image intensity and presenting a high-speed stimulation. Individual imperceptible face image stimulation confirmed that the following event-related potential (ERP) components: N 170, N 250, and N 400 were obtained. Furthermore, by using various time zones, including the ERP components as features, we verified the performance of eight subjects and achieved an equal error rate (EER) of 6.2 %.
Publisher
IEEE
Content Type
Conference Paper
ISSN
16175468
ISBN
9781665476669
Journal Title
Proceedings of the 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022)
Start Page
1
End Page
5
Published Date
2022
Publisher-DOI
Text Version
Author
Rights
© 2022 IEEE
Citation
M. A. Rahman and I. Nakanishi, "Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli," 2022 International Conference of the Biometrics Special Interest Group (BIOSIG), 2022, pp. 1-5, doi: 10.1109/BIOSIG55365.2022.9897041.
Department
Faculty of Engineering/Graduate School of Engineering
Language
English