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Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli
https://repository.lib.tottori-u.ac.jp/records/7051
https://repository.lib.tottori-u.ac.jp/records/70512dd9bcff-affe-4d17-a5d1-2ec2f15a825a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
BIOSIG2022_1.pdf (2.1 MB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
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| 公開日 | 2022-12-07 | |||||
| タイトル | ||||||
| タイトル | Person Authentication Using Brain Waves Evoked by Individual-related and Imperceptible Visual Stimuli | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題 | EEG, Event-related potential, Wavelet transform, Imperceptible visual stimuli EEG(en), Event-related potential(en), Wavelet transform(en), Imperceptible visual stimuli(en) |
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| 資源タイプ | ||||||
| 資源タイプ | conference paper | |||||
| 著者 |
中西, 功
× 中西, 功× Rahman, Md Atikur |
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| 著者所属 | ||||||
| 値 | Graduate School of Engineering, Tottori University | |||||
| 著者所属（英） | ||||||
| 言語 | en | |||||
| 値 | Faculty of Engineering Tottori University | |||||
| 抄録 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 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 %. | |||||
| 書誌情報 |
Proceedings of the 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022) en : Proceedings of the 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022) p. 1-5, 発行日 2022 |
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| 出版者 | ||||||
| 出版者 | IEEE | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 16175468 | |||||
| ISBN | ||||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 9781665476669 | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1109/BIOSIG55365.2022.9897041 | |||||
| 権利 | ||||||
| 権利情報 | © 2022 IEEE | |||||
| 情報源 | ||||||
| 関連名称 | 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/BIOSIG5536 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | AM | |||||
