NZX23 / EEG-Emotion-ClassificationLinks
Code to deploy a CNN to classify emotions using EEG Signals, based off the DEAP Dataset
☆11Updated last year
Alternatives and similar repositories for EEG-Emotion-Classification
Users that are interested in EEG-Emotion-Classification are comparing it to the libraries listed below
Sorting:
- This repository contains information on emotion recognition from eeg signals using DEAP data set☆10Updated 4 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 2 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
- 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
- Feature selection for DEAP data☆8Updated 3 years ago
- EEG-based emotion classification using DEAP dataset☆144Updated 2 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
- EEG Emotion classification using the DEAP pre-processed data☆148Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆86Updated 7 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
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 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
- ☆32Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 6 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆48Updated 4 years ago
- ☆32Updated 4 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆32Updated 9 months ago
- ☆19Updated 4 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
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆75Updated 3 years ago
- EEG-Based Emotion Recognition☆58Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated 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
- An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neu…☆11Updated 3 years ago
- 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…☆35Updated 2 months ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 5 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago