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Authors
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 Researchers DB KAKEN
Keywords
biometrics
EEG
imperceptible vibration stimuli
EER
SVM
Abstract
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%.
Publisher
IEEE xplore
Content Type
Conference Paper
Journal Title
Proc. of the 20th International Symposium on Communications and Information Technologies (ISCIT 2021)
Current Journal Title
Proc. of the 20th International Symposium on Communications and Information Technologies (ISCIT 2021)
Published Date
2021
Publisher-DOI
Text Version
Author
Rights
© 2021 IEEE xplore
Citation
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.
Department
Faculty of Engineering/Graduate School of Engineering
Language
English