Arka95 / Human-Emotion-Analysis-using-EEG-from-DEAP-datasetLinks
Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)
☆129Updated 5 years ago
Alternatives and similar repositories for Human-Emotion-Analysis-using-EEG-from-DEAP-dataset
Users that are interested in Human-Emotion-Analysis-using-EEG-from-DEAP-dataset are comparing it to the libraries listed below
Sorting:
- EEG Emotion classification using the DEAP pre-processed data☆148Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆86Updated 7 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆58Updated 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
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 5 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆203Updated 4 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
- ☆44Updated 6 years ago
- 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
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 5 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- EEG-based emotion classification using DEAP dataset☆144Updated 2 years ago
- Feature Extraction of Mental Load EEG signals☆59Updated 8 years ago
- DEAP Dataset Analysis Code☆51Updated 7 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 6 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆112Updated 4 years ago
- ☆108Updated 6 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 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
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆48Updated 4 years ago
- A general matlab framework for EEG data classification☆49Updated 7 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆64Updated 5 years ago
- Implementation of EEG signal classification.☆50Updated 9 years ago
- ☆130Updated 2 years ago
- ☆36Updated 6 years ago