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.

Bibliographische Detailangaben
Hauptverfasser:	Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Weitere Verfasser:	Rabiul Alam, Dr. Md. Golam
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	Emotional Intelligence Machinery activity EEG Emotion Brain signal Deep learning Hybrid model GCN. Machine Learning Electroencephalography Neural networks (Computer science)
Online Zugang:	http://hdl.handle.net/10361/18031

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