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.

Bibliographic Details
Main Authors: Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Other Authors: Rabiul Alam, Dr. Md. Golam
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
Emotional Intelligence
Machinery activity
EEG
Emotion
Brain signal
Deep learning
Hybrid model
GCN.
Machine Learning
Electroencephalography
Neural networks (Computer science)
Online Access:http://hdl.handle.net/10361/18031

Internet

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

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