Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results

Most studies on EEG-based biometry recognition report results based on signal databases, with a limited number of recorded EEG sessions using the same single EEG recording for both training and testing a proposed model. However, the EEG signal is highly vulnerable to interferences, electrode placeme...

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Bibliographic Details

Main Authors:	Renata Plucińska, Konrad Jędrzejewski, Urszula Malinowska, Jacek Rogala
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2023-02-01
Series:	Sensors
Subjects:	biometry EEG electroencephalography neural network PSD verification
Online Access:	https://www.mdpi.com/1424-8220/23/4/2057
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