weilheim / EEG
PyTorch EEG emotion analysis using DEAP dataset
☆78Updated 7 years ago
Alternatives and similar repositories for EEG:
Users that are interested in EEG are comparing it to the libraries listed below
- EEG Emotion classification using the DEAP pre-processed data☆140Updated 6 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆67Updated 3 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
- 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…☆47Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆37Updated 5 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆126Updated 4 years ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆105Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆67Updated 2 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…☆111Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆95Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆122Updated 3 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆46Updated 6 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- ☆43Updated 5 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- ☆36Updated 5 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- Feature Extraction of Mental Load EEG signals☆54Updated 8 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆65Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago