ynulonger / ijcnn
This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network"
☆45Updated 5 years ago
Alternatives and similar repositories for ijcnn:
Users that are interested in ijcnn are comparing it to the libraries listed below
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆56Updated last year
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆37Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 5 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆19Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆66Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆39Updated 4 years ago
- ☆18Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆35Updated 5 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…☆43Updated 2 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆74Updated 4 years ago
- ☆27Updated 6 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- Feature extraction for EEG signals☆28Updated 4 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆51Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆28Updated last year
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆93Updated last year
- ☆13Updated 3 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆19Updated 4 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆46Updated 6 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆57Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 8 months ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆121Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- ☆35Updated 5 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆9Updated 4 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 3 months ago