tuengominh / deap-eeg-classificationLinks
EEG-based emotion classification using DEAP dataset
☆150Updated 2 years ago
Alternatives and similar repositories for deap-eeg-classification
Users that are interested in deap-eeg-classification are comparing it to the libraries listed below
Sorting:
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆41Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆158Updated 6 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
- 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
- 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
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆117Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆80Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆71Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆59Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆133Updated 4 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- ☆33Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆78Updated 3 years ago
- EEG-Based Emotion Recognition☆59Updated last year
- Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析,使用python…☆38Updated 4 months ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆47Updated 10 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆94Updated 2 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
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Pytorch implementation of EEGNet.☆49Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆36Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 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…☆179Updated 6 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆19Updated 9 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆77Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆83Updated 4 years ago