Concealed information detection using EEG for lie recognition by ERP P300 in response to visual stimuli: A review

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Concealed information detection using EEG for lie recognition by ERP P300 in response to visual stimuli: A review

Popis výsledku v původním jazyce

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&apos;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.

Název v anglickém jazyce

Concealed information detection using EEG for lie recognition by ERP P300 in response to visual stimuli: A review

Popis výsledku anglicky

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&apos;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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

WSEAS Transactions on Information Science and Applications

ISSN

1790-0832

e-ISSN

1790-0832

Svazek periodika

19

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

GR - Řecká republika

Počet stran výsledku

9

Strana od-do

171-179

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85142059257