ruanqunsheng / ijcnn
Code for our IJCNN 2018 paper "Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network"
☆12Updated 6 years ago
Alternatives and similar repositories for ijcnn:
Users that are interested in ijcnn are comparing it to the libraries listed below
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 2 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆22Updated 4 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆84Updated 5 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 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
- Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection code☆19Updated 4 years ago
- ☆18Updated 4 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- This is a final project for my 2019 Winter course "Pattern Recognition".☆25Updated 4 years ago
- ☆36Updated 6 years ago
- This is a project of combining facial expression and EEG for emotion recognition using python in emotion experiment☆17Updated 6 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆39Updated 4 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 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
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆13Updated 2 years ago
- ☆13Updated 6 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- ☆38Updated 4 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆50Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- ☆27Updated 7 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆92Updated 6 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- Emotion recognition using DEAP dataset,GSR。☆38Updated 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 last week