An enhanced Coati Optimization Algorithm for global optimization and feature selection in EEG emotion recognition

• Published in: Computers in biology and medicine Vol. 173; p. 108329
• Main Authors: Houssein, Essam H., Hammad, Asmaa, Emam, Marwa M., Ali, Abdelmgeid A.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.05.2024; Elsevier Limited
• Subjects: Algorithms; Animals; Arousal; Classification; Coati Optimization Algorithm; Datasets; EEG; EEG signals; Electroencephalography; Electroencephalography - methods; Emotion recognition; Emotions; Feature recognition; Feature selection; Global optimization; Heuristic methods; Humans; Internal Medicine; Metaheuristics; Multi-layer perceptron neural network; Multilayer perceptrons; Multilayers; Neural networks; Neural Networks, Computer; Optimization algorithms; Other; Procyonidae; Runge-Kutta method; Statistical methods; Multi-layer perceptron neural network; Emotion recognition; Feature selection; EEG signals; Coati Optimization Algorithm; Metaheuristics

Emotion recognition based on Electroencephalography (EEG) signals has garnered significant attention across diverse domains including healthcare, education, information sharing, and gaming, among others. Despite its potential, the absence of a standardized feature set poses a challenge in efficientl...