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.

Dettagli Bibliografici
Autori principali:	Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Altri autori:	Rabiul Alam, Dr. Md. Golam
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Emotional Intelligence Machinery activity EEG Emotion Brain signal Deep learning Hybrid model GCN. Machine Learning Electroencephalography Neural networks (Computer science)
Accesso online:	http://hdl.handle.net/10361/18031

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