フルテキストファイル
著者
Nakashima, Hirotomo Graduate School of Sustainability Sciences Tottori University
Shindo, Yoshiaki Graduate School of Sustainability Sciences Tottori University
Nakanishi, Isao Faculty of Engineering Tottori University 研究者総覧 KAKEN
キーワード
biometrics
EEG
imperceptible vibration stimuli
EER
SVM
抄録
In this study, we examine electroencephalogram (EEG) biometric information that can be detected continuously with high confidentiality to realize personal verification using the evoked EEG when presented with an imperceptible vibration stimulus. Considering the survey of conventional studies on brainwaves evoked by perceptible vibration stimulation, we determined that to use the evoked EEG, including the immediately response after the stimulus is effective in verification. Therefore, we introduce a method for repeating the stimulus presentation over a short time. In addition, to improve the verification performance, we introduce support vector machine (SVM). Furthermore, we evaluated the verification performance and obtained an equal error rate of 11%.
出版者
IEEE xplore
資料タイプ
会議資料
掲載誌名
Proc. of the 20th International Symposium on Communications and Information Technologies (ISCIT 2021)
最新掲載誌名
Proc. of the 20th International Symposium on Communications and Information Technologies (ISCIT 2021)
発行日
2021
出版者DOI
著者版フラグ
著者版
著作権表記
© 2021 IEEE xplore
掲載情報
Nakashima Hirotomo, Shindo Yoshiaki, Nakanishi Isao. Performance Improvement in User Verification Using Evoked Electroencephalogram by Imperceptible Vibration Stimuli. Proc. of the 20th International Symposium on Communications and Information Technologies (ISCIT 2021), 2021.
部局名
工学部・工学研究科
言語
英語