The present study proposes an EEG-based authentication system built around the spectral features that characterize brain activity, and the implementation of a ...
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Sep 13, 2022 · In the present study, we address the problem of individual user variability, by proposing a data-driven Electroencephalography (EEG)-based ...
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Jul 13, 2022 · In the present study we address the problem of individual user variability, by proposing a data-driven Electroencephalography (EEG) based ...
In the present study we address the problem of individual user variability, by proposing a data-driven Electroencephalography (EEG) based authentication method.
In this study, we focus on a data-driven approach to Electroencephalography (EEG)-based authentication, guided by the power of machine learning algorithms.
This study addresses the problem of individual user variability, by proposing a data-driven Electroencephalography (EEG)-based authentication method, ...
Missing: Personalised | Show results with:Personalised
In the present study, we address the problem of individual user variability, by proposing a data-driven Electroencephalography (EEG)-based authentication method ...
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In the present study, we address the problem of individual user variability, by proposing a data-driven Electroencephalography (EEG)-based authentication method ...
Missing: Personalised | Show results with:Personalised
Dec 24, 2022 · In this work, we focus on biometric authentication, as it depends on the user's inherent characteristics and, therefore, offers personalized ...
In this paper, we propose to take the advantage of rich information, such as age and gender, carried by EEG signals for user authentication in multi-level ...