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dc.title | EEG-based lie detection using ERP P300 in response to known and unknown faces: An overview | en |
dc.contributor.author | Žabčíková, Martina | |
dc.contributor.author | Koudelková, Zuzana | |
dc.contributor.author | Jašek, Roman | |
dc.relation.ispartof | Proceedings - 26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022 | |
dc.identifier.isbn | 978-1-6654-8186-1 | |
dc.date.issued | 2022 | |
dc.citation.spage | 11 | |
dc.citation.epage | 15 | |
dc.event.title | 26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022 | |
dc.event.location | Chania, Crete Island | |
utb.event.state-en | Greece | |
utb.event.state-cs | Řecko | |
dc.event.sdate | 2022-07-19 | |
dc.event.edate | 2022-07-22 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.identifier.doi | 10.1109/CSCC55931.2022.00011 | |
dc.relation.uri | https://ieeexplore.ieee.org/document/10017818 | |
dc.relation.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10017818 | |
dc.subject | EEG | en |
dc.subject | electroencephalography | en |
dc.subject | ERP | en |
dc.subject | known faces | en |
dc.subject | lie detection | en |
dc.subject | P300 | en |
dc.subject | unknown faces | en |
dc.subject | visual stimuli | en |
dc.description.abstract | Concealed information detection is nowadays an essential part of security. Conventional lie detectors are expensive, time-consuming, and their accuracy depends on the subject. Many researchers have focused on investigating concealed information for lie detection using electroencephalography (EEG) to recognize a lie better. This work aimed to provide an overview of scientific studies on EEG-based lie detection in the context of ERP P300 during the presentation of known and unknown faces published in the last five years (2017-2022). To the best of our knowledge, there is no recent available review of the most used methods for EEG data analysis in this field. For that reason, this article was created containing the current most used methods for feature extraction and classification, protocols, and accuracy of individual approaches. © 2022 IEEE. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1011404 | |
utb.identifier.obdid | 43884172 | |
utb.identifier.scopus | 2-s2.0-85147731923 | |
utb.source | d-scopus | |
dc.date.accessioned | 2023-02-25T13:54:25Z | |
dc.date.available | 2023-02-25T13:54:25Z | |
dc.description.sponsorship | Tomas Bata University in Zlin, TBU: IGA/CebiaTech/2022/006 | |
utb.ou | Department of Informatics and Artificial Intelligence | |
utb.contributor.internalauthor | Žabčíková, Martina | |
utb.contributor.internalauthor | Koudelková, Zuzana | |
utb.contributor.internalauthor | Jašek, Roman | |
utb.fulltext.sponsorship | This work was supported by IGA (Internal Grant Agency) of Tomas Bata University in Zlin under the project No. IGA/CebiaTech/2022/006. | |
utb.scopus.affiliation | Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic | |
utb.fulltext.projects | IGA/CebiaTech/2022/006 |