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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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Principais autores: Behzad Yousefipour, Vahid Rajabpour, Hamidreza Abdoljabbari, Sobhan Sheykhivand, Sebelan Danishvar
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2024-12-01
Series:Biomimetics
Assuntos:
Auto Encoder (AE)
Brain–Computer Interface (BCI)
Convolutional Neural Network (CNN)
Electroencephalogram (EEG)
emotion detection
ensemble deep learning
Acceso en liña:https://www.mdpi.com/2313-7673/9/12/761
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