Single-trial lie detection using a combined fNIRS-polygraph system

MR Bhutta, MJ Hong, YH Kim, KS Hong - Frontiers in psychology, 2015 - frontiersin.org
Deception is a human behavior that many people experience in daily life. It involves
complex neuronal activities in addition to several physiological changes in the body. A …

A novel method based on empirical mode decomposition for P300-based detection of deception

A Arasteh, MH Moradi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Conventional polygraphy has several alternatives and one of them is P300-based guilty
knowledge test. The purpose of this paper is to apply a new method called empirical mode …

Miradas y palabras que engañan: Comportamiento visual y estilo lingüístico en testimonios honestos y deshonestos

JC Carvajal-Builes, MI Barreto-Galeano - 2024 - repository.ucatolica.edu.co
En este libro se presenta, en su primera parte, un abordaje narrativo respecto al concepto
del engaño y sobre cómo ha sido su estudio, caracterizado principalmente por el análisis de …

Conditioning to true content and artificial intelligence in psychophysiological intention recognition

V Randjelovic - International Journal of Psychophysiology, 2024 - Elsevier
Objective The objective is to introduce a novel method for classical conditioning to true
content (CtTC), and for the first time, apply this approach in the concealed information test …

Classification of EEG signals using hybrid combination of features for lie detection

N Saini, S Bhardwaj, R Agarwal - Neural Computing and Applications, 2020 - Springer
The present work demonstrates the effectiveness of the combination of time, frequency, time–
frequency, and statistical features extracted from the electroencephalogram (EEG) data, with …

[HTML][HTML] Multimodal detection of concealed information using genetic-SVM classifier with strict validation structure

ED Farahani, MH Moradi - Informatics in Medicine Unlocked, 2017 - Elsevier
The main idea of multimodal detection of concealed information is based on a comparison
between the physiological responses of a subject to the probe and irrelevant items. The …

Interactive slide selection algorithm and machine learning in psychophysiological memory testing

V Randjelovic - Physiological Measurement, 2023 - iopscience.iop.org
Objective. To present a new type of concealed information test (CIT) that implements the
interactive slide selection (ISS) algorithm and compare its effectiveness with a standard CIT …

Memory detection with concurrent behavioral, autonomic, and neuroimaging measures in a mock crime

C Wang, X Yi, H Li, N Ke, Z Lei, G Fu… - Psychophysiology, 2024 - Wiley Online Library
Concealed information test (CIT) has been utilized for long to perform single measurements.
The combination of multiple measures outperforms single measures because of the diverse …

Subject-based discriminative sparse representation model for detection of concealed information

A Akhavan, MH Moradi, SR Vand - Computer methods and programs in …, 2017 - Elsevier
Background and objectives The use of machine learning approaches in concealed
information test (CIT) plays a key role in the progress of this neurophysiological field. In this …

Lie detection from fNIR signal and NeuroImage

MA Rahman, M Ahmad - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
In this paper, we investigated the hemodynamic response of human brain activity during
answering lie with respect to true. For laboratory investigation, several mock lying protocols …