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EEG biometrics for user recognition using visually evoked potentials

dc.contributor.authorDas, Rig
dc.contributor.authorMaiorana, Emanuele
dc.contributor.authorRocca, Daria La
dc.contributor.authorCampisi, Patrizio
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2017-06-30T08:19:16Z
dc.date.available2017-06-30T08:19:16Z
dc.date.issued2015
dc.description.abstractElectroencephalographic signals (EEG) have been long supposed to contain features characteristic of each individual, yet a substantial interest for exploiting them as a potential biometrics for people recognition has only recently grown. The biggest advantages of EEG-based biometrics lie in its universality and security, while its major concerns are related to the acquisition protocol that can be inconvenient and time consuming. This paper investigates the use of EEG signals, elicited using visual stimuli, for the purpose of biometric recognition, and evaluates the performance obtained considering various frequency bands, different number of visual stimuli, and various subsets of time intervals after the stimuli presentation. An exhaustive set of experimental tests has been performed by employing EEG data of 50 different healthy subjects acquired in two different sessions, separated by one week time.en
dc.identifier.isbn978-3-88579-639-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-245
dc.titleEEG biometrics for user recognition using visually evoked potentialsen
dc.typeText/Conference Paper
gi.citation.endPage310
gi.citation.publisherPlaceBonn
gi.citation.startPage303
gi.conference.date9.-11. September 2015
gi.conference.locationDarmstadt

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