belaalb / Emotion-RecognitionLinks
Emotion recognition from EEG and physiological signals using deep neural networks
☆47Updated 7 years ago
Alternatives and similar repositories for Emotion-Recognition
Users that are interested in Emotion-Recognition are comparing it to the libraries listed below
Sorting:
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- ☆32Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 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
- PyTorch EEG emotion analysis using DEAP dataset☆85Updated 7 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 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
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆92Updated 7 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆142Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- PyTorch implementation of TSception☆75Updated 2 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 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…☆117Updated 4 years ago
- 脑电情绪识别☆13Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆72Updated 3 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆146Updated 6 years ago
- Feature Extraction of Mental Load EEG signals☆59Updated 8 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆53Updated 2 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 5 years ago
- ☆36Updated 6 years ago
- DEAP Dataset Analysis Code☆51Updated 7 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆130Updated 3 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆47Updated 4 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆111Updated 4 years ago