Today0219 / Emotion-recognitionLinks
Emotion recognition using DEAP dataset，GSR。
☆38Updated 6 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:
- 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…☆54Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆154Updated 6 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 5 years ago
- DEAP Dataset Analysis Code☆51Updated 7 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 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…☆127Updated 4 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆89Updated 7 years ago
- EEG-based emotion classification using DEAP dataset☆148Updated 2 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…☆37Updated 3 months ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆48Updated 7 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆57Updated 2 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 6 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆108Updated 5 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 5 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆79Updated 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…☆61Updated 2 years ago
- This is the project of my undergraduate thesis, an enhanced Capsule Network that integrates EEG and ECG signals for improved emotion reco…☆11Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆177Updated 6 years ago
- ☆13Updated 6 years ago
- ☆33Updated 4 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 2 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆227Updated last year
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆78Updated 3 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆48Updated 4 years ago