Electroencephalograph-Based Emotion Recognition Using Brain Connectivity Feature and Domain Adaptive Residual Convolution Model

Electroencephalograph-Based Emotion Recognition Using Brain Connectivity Feature and Domain Adaptive Residual Convolution Model

In electroencephalograph (EEG) emotion recognition research, obtaining high-level emotional features with more discriminative information has become the key to improving the classification performance. This study proposes a new end-to-end emotion recognition method based on brain connectivity (BC) f...

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Bibliographic Details
Main Authors: Jingxia Chen, Chongdan Min, Changhao Wang, Zhezhe Tang, Yang Liu, Xiuwen Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Neuroscience
Subjects:
EEG
brain connectivity
residual convolution
domain adaptative
emotion recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.878146/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.878146/full

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