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.

Detalles Bibliográficos
Autores principales: Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Otros Autores: Rabiul Alam, Dr. Md. Golam
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Emotional Intelligence
Machinery activity
EEG
Emotion
Brain signal
Deep learning
Hybrid model
GCN.
Machine Learning
Electroencephalography
Neural networks (Computer science)
Acceso en línea:http://hdl.handle.net/10361/18031

Internet

http://hdl.handle.net/10361/18031

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