Traditional Machine Learning Outperforms EEGNet for Consumer-Grade EEG Emotion Recognition: A Comprehensive Evaluation with Cross-Dataset Validation

Objective. Consumer-grade EEG devices have the potential for widespread brain–computer interface deployment but pose significant challenges for emotion recognition due to reduced spatial coverage and the variable signal quality encountered in uncontrolled deployment environments. While deep learning...

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Egile Nagusiak:	Carlos Rodrigo Paredes Ocaranza, Bensheng Yun, Enrique Daniel Paredes Ocaranza
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-11-01
Saila:	Sensors
Gaiak:	brain–computer interface EEG emotion recognition consumer-grade devices domain adaptation cross-dataset validation traditional machine learning
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/25/23/7262
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