wmichalska / EEG-emotionsLinks
Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
☆33Updated 4 years ago
Alternatives and similar repositories for EEG-emotions
Users that are interested in EEG-emotions are comparing it to the libraries listed below
Sorting:
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago
- ☆108Updated 6 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆127Updated 4 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆47Updated 10 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 3 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆52Updated 4 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆89Updated 4 years ago
- A general matlab framework for EEG data classification☆49Updated 8 years ago
- ☆44Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆158Updated 6 years ago
- EEG-based emotion classification using DEAP dataset☆151Updated 2 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆180Updated 6 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆168Updated 5 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆49Updated 4 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆25Updated 5 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 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
- 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
- EEG Sleep stage classification using CNN with Keras☆179Updated last year
- Generate statistical features from Electroencephalographic data☆94Updated 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…☆57Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆35Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆80Updated 3 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆229Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆64Updated 2 years ago