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