Multimodal insights into granger causality connectivity: Integrating physiological signals and gated eye-tracking data for emotion recognition using convolutional neural network

This study introduces a groundbreaking method to enhance the accuracy and reliability of emotion recognition systems by combining electrocardiogram (ECG) with electroencephalogram (EEG) data, using an eye-tracking gated strategy. Initially, we propose a technique to filter out irrelevant portions of...

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Auteurs principaux:	Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2024-08-01
Collection:	Heliyon
Sujets:	Convolutional neural network (CNN) Effective connectivity EEG-ECG Eye-tracking data Emotion recognition
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2405844024124425
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