ajtheb / EEG-Emotion-Recognition-SRU-model-Links
An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neutral and negative. It uses SEED dataset which consist of EEG signal of 15 person with 15 trial in each session. It is an implementation of paper 'EEG-based emotion recognition using simple recurrent units netwo…
☆11Updated 3 years ago
Alternatives and similar repositories for EEG-Emotion-Recognition-SRU-model-
Users that are interested in EEG-Emotion-Recognition-SRU-model- are comparing it to the libraries listed below
Sorting:
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆80Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆69Updated last year
- Emotion recognition base on EEG.☆18Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆55Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆41Updated 6 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆110Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 3 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 5 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆78Updated 3 years ago
- ☆32Updated 2 years ago
- ☆19Updated 5 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆34Updated 2 months ago
- Feature extraction for EEG signals☆29Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆150Updated 2 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 5 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆42Updated 5 years ago
- DL model estimating vigilance levels using multimodal EEG and EOG☆29Updated 3 years ago
- ☆13Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆36Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆25Updated 4 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 3 years ago
- ☆33Updated 4 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆18Updated last year