Lie detection using fuzzy ensemble approach with novel defuzzification method for classification of EEG signals
The ability to analyze deceit behavior in humans is an extremely vital issue where legal and
security purposes are considered. Using the P300 component of event-related potential …
security purposes are considered. Using the P300 component of event-related potential …
An efficient concealed information test: EEG feature extraction and ensemble classification for lie identification
EEG-based lie detectors have become popular over polygraphs because it cannot be
controlled by human intentions. Various studies have performed “Guilty Knowledge Test” or …
controlled by human intentions. Various studies have performed “Guilty Knowledge Test” or …
[HTML][HTML] A multi stage EEG data classification using k-means and feed forward neural network
Objective Electroencephalography based brain-computer interface techniques are widely
used these days as they bring human intentions into reality. Various researchers have …
used these days as they bring human intentions into reality. Various researchers have …
A synergistic concealed information test with novel approach for EEG channel selection and SVM parameter optimization
In the era of data, it is a challenging task to classify continuous data such as
electroencephalographic data. The electroencephalographic signal maps several thoughts …
electroencephalographic data. The electroencephalographic signal maps several thoughts …
RETRACTED ARTICLE: A novel multi-layer multi-spiking neural network for EEG signal classification using Mini Batch SGD
A novel multi-layer multi-spiking neural network (MMSNN) model sends information from
one neuron to the next through multiple synapses in different spikes. When a suitable …
one neuron to the next through multiple synapses in different spikes. When a suitable …
PSO-based optimization for EEG data and SVM for efficient deceit identification.
V Boddu, P Kodali - Soft Computing-A Fusion of Foundations …, 2023 - search.ebscohost.com
Deception is a well-known term that involves acting in a way that it leads another person to
believe something that is not true. Deception is a very common occurrence in daily life, and …
believe something that is not true. Deception is a very common occurrence in daily life, and …
Brain-based concealed memory detection is driven mainly by orientation to salient items
In the pursuit of new methods for concealed memory detection, event-related potential
components (ERP) have been placed at the forefront of research. No method, however, is …
components (ERP) have been placed at the forefront of research. No method, however, is …
Deceit identification test on EEG data using deep belief network
With the increasing rate of crime, deceit identification has become an issue of concern. The
main task here is to classify the EEG data recorded for lie detection, into innocent and guilty …
main task here is to classify the EEG data recorded for lie detection, into innocent and guilty …
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 …
interactive slide selection (ISS) algorithm and compare its effectiveness with a standard CIT …
Spatial spiking neural network for classification of EEG signals for concealed information test
In the field of neuroscience, a significant challenge lies in extracting essential features from
biological signals like Electroencephalography (EEG). Utilized as a non-invasive method …
biological signals like Electroencephalography (EEG). Utilized as a non-invasive method …