FCAN–XGBoost: A Novel Hybrid Model for EEG Emotion Recognition

FCAN–XGBoost: A Novel Hybrid Model for EEG Emotion Recognition

In recent years, artificial intelligence (AI) technology has promoted the development of electroencephalogram (EEG) emotion recognition. However, existing methods often overlook the computational cost of EEG emotion recognition, and there is still room for improvement in the accuracy of EEG emotion...

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Bibliographic Details
Main Authors:	Jing Zong, Xin Xiong, Jianhua Zhou, Ying Ji, Diao Zhou, Qi Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	Sensors
Subjects:	EEG emotion recognition feature fusion FANet FCAN–XGBoost
Online Access:	https://www.mdpi.com/1424-8220/23/12/5680

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