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)
☆128Updated 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☆145Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 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…☆51Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆139Updated 2 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆92Updated 7 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆168Updated 6 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- Feature Extraction of Mental Load EEG signals☆57Updated 8 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 7 years ago
- ☆68Updated 6 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆110Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- ☆105Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆54Updated 2 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 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…☆116Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- ☆43Updated 6 years ago
- ☆38Updated 4 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year