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

Internet

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

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