Self-Supervised EEG Emotion Recognition Models Based on CNN

Self-Supervised EEG Emotion Recognition Models Based on CNN

Emotion plays crucial roles in human life. Recently, emotion classification from electroencephalogram (EEG) signal has attracted attention by researchers due to the rapid development of brain computer interface (BCI) techniques and machine learning algorithms. However, recent studies on emotion clas...

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Bibliographic Details
Main Authors: Xingyi Wang, Yuliang Ma, Jared Cammon, Feng Fang, Yunyuan Gao, Yingchun Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EEG
self-supervised
emotion classification
multi-task learning
Online Access:https://ieeexplore.ieee.org/document/10089876/

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