Browsing by Subject "Electroencephalogram"
Now showing items 1-4 of 4
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Discrimination between genuine and acted expressions using EEG signals and machine learning
(2019-04)The main purpose of this thesis work was to quantify happiness in an objective manner. This is in line with the objectives of the National Program for Happiness and Positivity in the UAE. The major contribution to this ... -
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
(2020-04)Genuineness of smiles is one aspect of the field of deception recognition, one that is prevalent in myriad social situations, and it is not easy to tell when a person’s smile is genuine or not for the average person. Machine ... -
EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
(IEEE, 2020)This paper proposes two novel methods to classify semantic vigilance levels by utilizing EEG directed connectivity patterns with their corresponding graphical network measures. We estimate the directed connectivity using ... -
Functional Connectivity Analysis under Vigilance Decrement and Enhanced Mental States
(2020-06)This thesis proposes electroencephalogram (EEG) functional connectivity and graph theory analysis (GTA) to quantify brain activity under alertness, vigilance decrement, and enhanced mental states in four frequency bands. ...