EmoRecog-Net: A Multimodal Framework for Emotion Recognition From fMRI and Physiological Signals

Emotion emerges from the coordinated interplay between central neural activity and peripheral autonomic responses; however, many existing deep learning approaches model these modalities independently, limiting their ability to capture complementary affective information and to remain robust under sm...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hsiang-Chin Chien, Chia-Yen Lee, Jung-Chih Chen
Format:	Article
Language:	English
Published:	IEEE 2026-01-01
Subjects:	Multimodal emotion recognition fMRI physiological signals affective computing deep learning gated recurrent unit
Online Access:	https://ieeexplore.ieee.org/document/11526729/