EEG based user recognition using BUMP modelling. Abstract: In this paper the use of electroencephalogram (EEG) as biometric identifier is investigated. The use ...
The purpose of this work is to provide an analysis of parametric time-frequency maps of the acquired EEG signals, in order to identify distinctive measures of ...
Abstract: In this paper the use of electroencephalogram (EEG) as biometric iden- tifier is investigated. The use of EEG within the biometric framework has ...
Title: EEG based user recognition using BUMP modelling. Authors: La Rocca, D.; Campisi, P.; J. Solé-Casals;. Researchers (PRC):, Solé-Casals, Jordi.
EEG Based User Recognition Using BUMP Modeling · La Rocca D;CAMPISI, PATRIZIO;Solé Casals J. · 2013-01-01 · Scheda breve; Scheda completa; Scheda completa (DC).
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Bump modeling. From top to bottom: EEG signal in time-domain
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Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In ...
Jan 11, 2023 · We present a robust and efficient EEG-based recognition system using this CNN model. The system was validated on a public domain benchmark dataset.
EEG based user recognition using BUMP modelling, ca. dc.type, Chapter in Book, en. dc.contributor.authors, La Rocca, D.; Campisi, P.; J. Solé-Casals;, -. dc ...
Artificial EEG signal was generated by AR modelling. The AR model parameters were estimated from short segments (3 sec) of resting EEG already present in the ...
The longitudinal behavior of EEG discriminative traits is evaluated by means of a statistical-and performance-related analysis, using different EEG features and ...