Representation Learning for EEG-Based Biometrics Using Hilbert–Huang Transform

A promising approach to overcome the various shortcomings of password systems is the use of biometric authentication, in particular the use of electroencephalogram (EEG) data. In this paper, we propose a subject-independent learning method for EEG-based biometrics using Hilbert spectrograms of the d...

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Bibliographic Details

Published in:	Computers
Main Authors:	Mikhail Svetlakov, Ilya Kovalev, Anton Konev, Evgeny Kostyuchenko, Artur Mitsel
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Subjects:	EEG biometrics multi-similarity loss subject-independent representation learning Hilbert–Huang transform
Online Access:	https://www.mdpi.com/2073-431X/11/3/47