Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)

Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)

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Emotions are an essential part of daily human communication. The emotional states and dynamics of the brain can be linked by electroencephalography (EEG) signals that can be used by the Brain–Computer Interface (BCI), to provide better human–machine interactions. Several studies have been conducted...

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Bibliographic Details
Main Authors: Algarni, M. (Author), Al-Hadhrami, T. (Author), Al-Sarem, M. (Author), Ghabban, F. (Author), Saeed, F. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Behavioral research
Bi-directional
bi-directional long short-term memory
Bi-directional long short-term memory
Binary gray wolf optimizer
binary grey wolf optimizer
Biomedical signal processing
Brain
Brain computer interface
brain–computer interface
Classification (of information)
electroencephalography
Electroencephalography
Electrophysiology
emotion recognition
Emotion recognition
Feature extraction
Gray wolves
Human communications
Interface states
Learning-based approach
Long short-term memory
Optimizers
Performance
Recognition models
Speech recognition
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