Concealed information detection using EEG for lie recognition by ERP P300 in response to visual stimuli: A review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63549638" target="_blank" >RIV/70883521:28140/22:63549638 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.37394/23209.2022.19.17" target="_blank" >https://doi.org/10.37394/23209.2022.19.17</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.37394/23209.2022.19.17" target="_blank" >10.37394/23209.2022.19.17</a>
Alternative languages
Result language
angličtina
Original language name
Concealed information detection using EEG for lie recognition by ERP P300 in response to visual stimuli: A review
Original language description
Nowadays, lie detection based on electroencephalography (EEG) is a popular area of research. Current lie detectors can be controlled voluntarily and have several disadvantages. EEG-based lie detectors have become popular over polygraphs because human intentions cannot control them, are not based on subjective interpretation, and can therefore detect lies better. This paper's main objective was to give an overview of the scientific works on the recognition of concealed information using EEG for lie detection in response to visual stimuli of faces, as there is no existing review in this area. These were selected publications from the Web of Science (WoS) database published over the last five years. It was found that the Event-Related Potential (ERP) P300 is the most often used method for this purpose. The article contains a detailed overview of the methods used in scientific research in EEG-based lie detection using the ERP P300 component in response to known and unknown faces.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS Transactions on Information Science and Applications
ISSN
1790-0832
e-ISSN
1790-0832
Volume of the periodical
19
Issue of the periodical within the volume
Neuveden
Country of publishing house
GR - GREECE
Number of pages
9
Pages from-to
171-179
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85142059257