Multi-Classifier Fusion Based on MI–SFFS for Cross-Subject Emotion Recognition

Multi-Classifier Fusion Based on MI–SFFS for Cross-Subject Emotion Recognition

With the widespread use of emotion recognition, cross-subject emotion recognition based on EEG signals has become a hot topic in affective computing. Electroencephalography (EEG) can be used to detect the brain’s electrical activity associated with different emotions. The aim of this research is to...

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Bibliographic Details
Main Authors: Haihui Yang, Shiguo Huang, Shengwei Guo, Guobing Sun
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Entropy
Subjects:
emotion recognition
Multi-Classifier Fusion
mutual information
SFFS
cross-subject
Online Access:https://www.mdpi.com/1099-4300/24/5/705

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