About: EEG biometric identification: repeatability and influence of movement-related EEG

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper describes use of EEG signal as biometric characteristic for person identification. We focus on the problem of repeatability of the identification process, and influence of the movement-related EEG on results of identification. Used database of EEG signals consists of two sessions, obtained approximately one year apart. We use frequency-Zooming Auto-Regression modeling and Mahalanobis distance-based classifier for classification of EEG segments, which leads to subject identification with success rate for single session identification up to 98%. When the earlier session is used for classifier training and the later session for testing, the highest success rate with our identification algorithm is 87.1%. Experiments show that use of the movement-related EEG leads to better identification results. This paper describes use of EEG signal as biometric characteristic for person identification. We focus on the problem of repeatability of the identification process, and influence of the movement-related EEG on results of identification. Used database of EEG signals consists of two sessions, obtained approximately one year apart. We use frequency-Zooming Auto-Regression modeling and Mahalanobis distance-based classifier for classification of EEG segments, which leads to subject identification with success rate for single session identification up to 98%. When the earlier session is used for classifier training and the later session for testing, the highest success rate with our identification algorithm is 87.1%. Experiments show that use of the movement-related EEG leads to better identification results. (en)
Title	EEG biometric identification: repeatability and influence of movement-related EEG EEG biometric identification: repeatability and influence of movement-related EEG (en)
skos:prefLabel	EEG biometric identification: repeatability and influence of movement-related EEG EEG biometric identification: repeatability and influence of movement-related EEG (en)
skos:notation	RIV/68407700:21230/12:00194645!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Šťastný, Jakub Kostílek, Milan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	132848
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/12:00194645
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	electroencephalography; biometrics; person identification; frequency-zooming auto-regression modeling (en)
http://linked.open.../riv/klicoveSlovo	electroencephalography frequency-zooming auto-regression modeling person identification biometrics
http://linked.open...ontrolniKodProRIV	[76CDA1D06DCC]
http://linked.open...v/mistoKonaniAkce	Plzeň
http://linked.open...i/riv/mistoVydani	Pilsen
http://linked.open...i/riv/nazevZdroje	2012 International Conference on Applied Electronics
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Šťastný, Jakub Kostílek, Milan
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2012-09-06 (xsd:date)
issn	1803-7232
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Západočeská univerzita v Plzni
https://schema.org/isbn	978-80-261-0038-6
http://localhost/t...ganizacniJednotka	21230

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