brainhack-school2020 / Biosignal-Emotions-BHS-2020
Biosignal processing for automatic emotion recognition
☆45Updated 2 years ago
Alternatives and similar repositories for Biosignal-Emotions-BHS-2020:
Users that are interested in Biosignal-Emotions-BHS-2020 are comparing it to the libraries listed below
- It is an emotion detection with EEG and ECG signals.☆38Updated 4 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆48Updated 3 weeks ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆51Updated last year
- Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals☆12Updated 3 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆13Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆67Updated 2 years ago
- ☆16Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆40Updated 2 months ago
- Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection code☆19Updated 4 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated 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…☆36Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 4 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆29Updated 4 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆45Updated 5 years ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆48Updated 4 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion☆35Updated 4 years ago
- PyTorch implementation of TSception☆71Updated 2 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆46Updated 6 years ago
- ☆26Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- 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…☆111Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆67Updated 3 years ago
- Emotion recognition using DEAP dataset，GSR。☆37Updated 6 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆42Updated 7 months ago
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 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…☆47Updated 2 years ago