Ti99663's starred repositories
PyTorch-GANSER
Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"
SST-EmotionNet
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
Style-Transfer-Mapping
Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition
Emotion-Recognition-from-brain-EEG-signals-
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.
EEG-Emotion-Recognition
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
Realtime-EEG-Based-Emotion-Recognition
Realtime emotion recognition from EEG data.