Song-zhenzhen / EEG_emotion_classification_use_CNN-and-RNN
☆36Updated 6 years ago
Alternatives and similar repositories for EEG_emotion_classification_use_CNN-and-RNN:
Users that are interested in EEG_emotion_classification_use_CNN-and-RNN are comparing it to the libraries listed below
- Feature extraction for EEG signals☆28Updated 5 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆22Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- ☆43Updated 6 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 7 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆52Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆82Updated 7 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆84Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- BCI Competition IV dataset 2a☆27Updated 5 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- ☆18Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago
- CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of…☆41Updated 6 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆69Updated 4 years ago
- Feature Extraction of Mental Load EEG signals☆56Updated 8 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…☆49Updated 2 years ago