EEG-based lie detection using ERP P300 in response to known and unknown faces: An overview
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63557458" target="_blank" >RIV/70883521:28140/22:63557458 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10017818" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10017818</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CSCC55931.2022.00011" target="_blank" >10.1109/CSCC55931.2022.00011</a>
Alternative languages
Result language
angličtina
Original language name
EEG-based lie detection using ERP P300 in response to known and unknown faces: An overview
Original language description
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 EEGbased 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
Article name in the collection
2022 26th International Conference on Circuits, Systems, Communications and Computers (CSCC)
ISBN
978-1-66548-186-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
11-15
Publisher name
IEEE Computer Society Conference Publishing Services (CPS)
Place of publication
Washington, DC
Event location
Chania
Event date
Jul 19, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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