Search
Now showing items 1-3 of 3
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 ...
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 ...
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. ...