A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG

A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG

Classifying distinct human emotions, the fundamental purpose of brain-computer interface research, is essential for providing instant personalized services and assistance to individuals. With such emerging applications for individuals, several techniques have been proposed recently to explore intera...

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Bibliographic Details
Main Authors: Mahfuza Akter Maria, M. A. H. Akhand, A. B. M. Aowlad Hossain, Md. Abdus Samad Kamal, Kou Yamada
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Connectivity feature
convolutional neural network
electroencephalography (EEG)
emotion recognition
feature extraction
Online Access:https://ieeexplore.ieee.org/document/10092746/

Internet

https://ieeexplore.ieee.org/document/10092746/

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