deep-bci / ERBCPSILinks
The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"
☆13Updated 5 years ago
Alternatives and similar repositories for ERBCPSI
Users that are interested in ERBCPSI are comparing it to the libraries listed below
Sorting:
- 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
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆59Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆72Updated 9 months ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- ☆24Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- CNN classifier to classify MI-EEG signals☆51Updated 6 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆94Updated 8 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 3 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…☆60Updated 3 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆89Updated 6 years ago
- Pytorch implementation of EEGNet.☆52Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- This is a final project for my 2019 Winter course "Pattern Recognition".☆26Updated 5 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆214Updated 5 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 6 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆118Updated 2 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Updated 7 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Updated 5 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆75Updated last year