An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP

An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP

In recent years, significant advancements have been made in the field of brain–computer interfaces (BCIs), particularly in the area of emotion recognition using EEG signals. The majority of earlier research in this field has missed the spatial–temporal characteristics of EEG signals, which are criti...

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Bibliographic Details
Main Authors: Behzad Yousefipour, Vahid Rajabpour, Hamidreza Abdoljabbari, Sobhan Sheykhivand, Sebelan Danishvar
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Biomimetics
Subjects:
Auto Encoder (AE)
Brain–Computer Interface (BCI)
Convolutional Neural Network (CNN)
Electroencephalogram (EEG)
emotion detection
ensemble deep learning
Online Access:https://www.mdpi.com/2313-7673/9/12/761
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