GBV-Net: Hierarchical Fusion of Facial Expressions and Physiological Signals for Multimodal Emotion Recognition

A core challenge in multimodal emotion recognition lies in the precise capture of the inherent multimodal interactive nature of human emotions. Addressing the limitation of existing methods, which often process visual signals (facial expressions) and physiological signals (EEG, ECG, EOG, and GSR) in...

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Detalhes bibliográficos

Principais autores:	Jiling Yu, Yandong Ru, Bangjun Lei, Hongming Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-10-01
coleção:	Sensors
Assuntos:	GBV-Net facial expressions physiological signals multimodal fusion emotion recognition
Acesso em linha:	https://www.mdpi.com/1424-8220/25/20/6397
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