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.

Bibliografski detalji
Glavni autori: Islam, Md. Tahmidul, Kabir, Abrar, Chowdhury, Imtiaz Ahmed, Afrin, Sadiya, Nahin, Rakibul Alam
Daljnji autori: Rabiul Alam, Dr. Md. Golam
Format: Disertacija
Jezik:English
Izdano: Brac University 2023
Teme:
Emotional Intelligence
Machinery activity
EEG
Emotion
Brain signal
Deep learning
Hybrid model
GCN.
Machine Learning
Electroencephalography
Neural networks (Computer science)
Online pristup:http://hdl.handle.net/10361/18031

Internet

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

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