IoBT-VISTEC / EEG-Emotion-Recognition-INTERFACES-datasets
EEG Emotion Datasets (INTERFACES) from OpenBCI (IEEE Sensors Journal)
☆28Updated 4 years ago
Alternatives and similar repositories for EEG-Emotion-Recognition-INTERFACES-datasets:
Users that are interested in EEG-Emotion-Recognition-INTERFACES-datasets are comparing it to the libraries listed below
- The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitt…☆39Updated 8 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆54Updated 2 years ago
- This repository contains the code for emotion recognition using wavelet transform and svm classifiers' rbf kernel.☆35Updated 2 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- ☆30Updated last month
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- EEG motor-imagery data analysis using MNE and Pytorch☆32Updated 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…☆47Updated 3 months ago
- ☆105Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆47Updated 4 years ago
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆67Updated 3 months ago
- Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs☆14Updated 3 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆128Updated 4 years ago
- Generate statistical features from Electroencephalographic data☆88Updated 2 years ago
- ☆43Updated 6 years ago
- DEAP Dataset Analysis Code☆50Updated 7 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆30Updated 4 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆87Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆92Updated 6 years ago
- Pytorch implementation of EEGNet.☆45Updated 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…☆166Updated 6 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 2 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆69Updated 10 months ago
- ☆10Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆160Updated 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…☆51Updated 2 years ago
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆73Updated 11 months ago