Investigating EEG-based functional connectivity patterns for multimodal emotion recognition
Volume: 19, Issue: 1, Pages: 016012 - 016012
Published: Jan 31, 2022
Abstract
Objective.Previous studies on emotion recognition from electroencephalography (EEG) mainly rely on single-channel-based feature extraction methods, which ignore the functional connectivity between brain regions. Hence, in this paper, we propose a novel emotion-relevant critical subnetwork selection algorithm and investigate three EEG functional connectivity network features: strength, clustering coefficient, and eigenvector...
Paper Details
Title
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition
Published Date
Jan 31, 2022
Volume
19
Issue
1
Pages
016012 - 016012
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