IIUM Repository (IREP)

Determining the state of truthfulness and falsehood by analyzing the acquired EEG signals

Cakmak, Rumeysa and Zeki, Akram M. (2016) Determining the state of truthfulness and falsehood by analyzing the acquired EEG signals. In: 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016, 4th-6th March 2016, Hatten Hotel MelakaHatten Square, Bandar HilirMelaka.

[img] PDF (SCOPUS) - Supplemental Material
Restricted to Repository staff only

Download (80kB) | Request a copy
[img] PDF - Published Version
Restricted to Repository staff only

Download (2MB) | Request a copy

Abstract

Detection of deception is particular importance for the criminal case and cognitive behaviors of individual. To understanding criminal behavior, extracting the characteristic of brain waves have obviously crucial. According to hypothesis, particularly prefrontal lobes associated with the deception. This paper alleged to understanding the relationship between deception and truth from frontal lobe during some specific tasks by mapping their EEG signals. In the present study, multiplayer neural network are used for bio-signal classification to diversify between patterns of lie and truth types of EEG classes with the accuracy of around 96%. Brain activity have been captured and characterized with EEG by focusing alpha waves. During the test, lie detection identified and especially focus to detect lie in individual subjects, rather than group averages. In this research, the classification methods applied and EEG machine differentiated the specific patterns of brain activity from frontal lobes associated with deception and truth. The responses from the 3 subjects was discriminated correctly with 99%. The ranges of accuracy of test from three subjects was between 88% to 96%, there was an exception in round three with subject three with 46%. While the participants were playing with Pokemon card, alpha waves were collected successfully. © 2016 IEEE.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6513/58531
Uncontrolled Keywords: Truthfulness; falsehood; prefrontal cortex; EEG.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology

Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Akram M Zeki
Date Deposited: 27 Sep 2017 16:18
Last Modified: 12 Oct 2017 17:07
URI: http://irep.iium.edu.my/id/eprint/58531

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year