Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli
Autor(en):
Zusammenfassung
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%.
- Vollständige Referenz
- BibTeX
, .,
(2022).
Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli.
In:
Brömme, A., Damer, N., Gomez-Barrero, M., Raja, K., Rathgeb, C., , ., Todisco, M. & Uhl, A.
(Hrsg.),
BIOSIG 2022.
Bonn:
Gesellschaft für Informatik e.V..
(S. 269-276).
DOI: 10.1109/BIOSIG55365.2022.9897041
@inproceedings{mci/
2022,
author = {Md Atikur Rahman and Isao Nakanishi},
title = {Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli},
booktitle = {BIOSIG 2022},
year = {2022},
editor = {Brömme, Arslan AND Damer, Naser AND Gomez-Barrero, Marta AND Raja, Kiran AND Rathgeb, Christian AND Sequeira Ana F. AND Todisco, Massimiliano AND Uhl, Andreas} ,
pages = { 269-276 } ,
doi = { 10.1109/BIOSIG55365.2022.9897041 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Md Atikur Rahman and Isao Nakanishi},
title = {Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli},
booktitle = {BIOSIG 2022},
year = {2022},
editor = {Brömme, Arslan AND Damer, Naser AND Gomez-Barrero, Marta AND Raja, Kiran AND Rathgeb, Christian AND Sequeira Ana F. AND Todisco, Massimiliano AND Uhl, Andreas} ,
pages = { 269-276 } ,
doi = { 10.1109/BIOSIG55365.2022.9897041 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
ISBN: 978-3-88579-723-4
ISSN: 1617-5495
Datum: 2022
Sprache:
(en)
(en)
Typ: Text/Conference Paper

