A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects

A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects

Abstract EEG-based emotion recognition uses high-level information from neural activities to predict emotional responses in subjects. However, this information is sparsely distributed in frequency, time, and spatial domains and varied across subjects. To address these challenges in emotion recogniti...

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Bibliographic Details
Main Authors: Rui Li, Xuanwen Yang, Jun Lou, Junsong Zhang
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Brain Informatics
Subjects:
EEG signal
Affective computing
Graph neural network
Cross-subjects
Online Access:https://doi.org/10.1186/s40708-024-00242-x
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https://doi.org/10.1186/s40708-024-00242-x

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