Z-Fran / DEAP-EEG-Emotion-Analyse-and-ClassifyLinks
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和DEAP数据集。
☆35Updated 2 months ago
Alternatives and similar repositories for DEAP-EEG-Emotion-Analyse-and-Classify
Users that are interested in DEAP-EEG-Emotion-Analyse-and-Classify are comparing it to the libraries listed below
Sorting:
- EEG Emotion classification using the DEAP pre-processed data☆148Updated 6 years ago
- EEG-based emotion classification using DEAP dataset☆144Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆112Updated 4 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆86Updated 7 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 6 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…☆121Updated 4 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…☆54Updated 2 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆129Updated 5 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 5 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- ☆32Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆75Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆123Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆173Updated 6 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 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
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆67Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆132Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆164Updated 5 years ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago