Emotion Recognition from EEG Signals Using Recurrent Neural Networks

Emotion Recognition from EEG Signals Using Recurrent Neural Networks

The application of electroencephalogram (EEG)-based emotion recognition (ER) to the brain–computer interface (BCI) has become increasingly popular over the past decade. Emotion recognition systems involve pre-processing and feature extraction, followed by classification. Deep learning has recently b...

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Bibliographic Details
Main Authors: M. Kalpana Chowdary, J. Anitha, D. Jude Hemanth
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Electronics
Subjects:
brain–computer interface
deep learning
RNN
LSTM
GRU
Online Access:https://www.mdpi.com/2079-9292/11/15/2387

Internet

https://www.mdpi.com/2079-9292/11/15/2387

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