yongruihuang / Eumpy-experiment
This is a project of combining facial expression and EEG for emotion recognition using python in emotion experiment
☆16Updated 6 years ago
Alternatives and similar repositories for Eumpy-experiment:
Users that are interested in Eumpy-experiment are comparing it to the libraries listed below
- 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…☆48Updated 2 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 6 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆45Updated 5 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 years ago
- Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection code☆18Updated 4 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated 2 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 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…☆112Updated 3 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆51Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆80Updated 7 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆83Updated 5 years ago
- ☆38Updated 3 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆125Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆102Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆108Updated 4 years ago
- Code for our IJCNN 2018 paper "Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network"☆12Updated 6 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 years ago
- 脑电情绪识别☆13Updated 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…☆52Updated last year
- EEG Emotion classification using the DEAP pre-processed data☆143Updated 6 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- ☆18Updated 4 years ago
- ☆36Updated 6 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆128Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆131Updated 2 years ago
- Emotion recognition using DEAP dataset,GSR。☆37Updated 6 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago