フルテキストファイル
著者
Rahman, Md Atikur Graduate School of Engineering, Tottori University
中西 功 Faculty of Engineering Tottori University 研究者総覧 KAKEN
キーワード
EEG
Event-related potential
Wavelet transform
Imperceptible visual stimuli
抄録
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 %.
出版者
IEEE
資料タイプ
会議資料
ISSN
16175468
ISBN
9781665476669
掲載誌名
Proceedings of the 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022)
開始ページ
1
終了ページ
5
発行日
2022
出版者DOI
著者版フラグ
著者版
著作権表記
© 2022 IEEE
掲載情報
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.
部局名
工学部・工学研究科
言語
英語