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.

Dades bibliogràfiques
Autors principals: Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Altres autors: Rabiul Alam, Dr. Md. Golam
Format: Thesis
Idioma:English
Publicat: Brac University 2023
Matèries:
Emotional Intelligence
Machinery activity
EEG
Emotion
Brain signal
Deep learning
Hybrid model
GCN.
Machine Learning
Electroencephalography
Neural networks (Computer science)
Accés en línia:http://hdl.handle.net/10361/18031

Internet

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

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