A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition

A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition

Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human–computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by...

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Bibliographic Details
Main Authors: Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Entropy
Subjects:
electroencephalography (EEG)
multi-entropy fusion
brain rhythms
single-channel
emotion recognition
Online Access:https://www.mdpi.com/1099-4300/27/1/96
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