Integrating Deep Metric Learning, Semi Supervised Learning, and Domain Adaptation for Cross-Dataset EEG-Based Emotion Recognition

The variability of EEG signals produced by different trial conditions and different devices presents significant challenges in developing practical EEG-based emotion recognition systems. Much of the research on developing a generalizable EEG emotion recognition approach focuses on cross-subject and...

Description complète

Détails bibliographiques

Auteurs principaux:	Hawraa Razzaq Abed Alameer, Pedram Salehpour, Hadi S. Aghdasi, Mohammad-Reza Feizi-Derakhshi
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	EEG-based emotion recognition deep metric learning cross-dataset learning domain generalization adversarial learning
Accès en ligne:	https://ieeexplore.ieee.org/document/10858132/
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!