Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Détails bibliographiques
Auteurs principaux:	Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Autres auteurs:	Rabiul Alam, Dr. Md. Golam
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Emotional Intelligence Machinery activity EEG Emotion Brain signal Deep learning Hybrid model GCN. Machine Learning Electroencephalography Neural networks (Computer science)
Accès en ligne:	http://hdl.handle.net/10361/18031

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