EEG-EmoNet: A Deep Learning Framework for Emotion Recognition from EEG Data
Author:
Affiliation:
1. COER University,Department of AIML,Roorkee,India
2. COER, Roorkee,Department of Mathematics,Roorkee,India
3. Quntum University,Department of Sciences,Roorkee,India
4. Quantum University,Department of CSE,Roorkee,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593650.pdf?arnumber=10593650
Reference21 articles.
1. EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation
2. EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
3. EEG Based Emotion Recognition Using Long Short Term Memory Network with Improved Rat Swarm Optimization Algorithm
4. Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification
5. Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)
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