officialarijit / RECSLinks
Real-time Emotion Recognition using Physiological signals in e-Learning Here one can find the development of realtime emotion recognition using various physiological signals
☆24Updated last year
Alternatives and similar repositories for RECS
Users that are interested in RECS are comparing it to the libraries listed below
Sorting:
- ☆33Updated 4 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…☆39Updated 6 months 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…☆59Updated 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…☆131Updated 4 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆184Updated 6 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆62Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆154Updated 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…☆65Updated 2 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆48Updated 7 years ago
- EEG Emotion classification using the DEAP pre-processed data☆161Updated 7 years ago
- EEG-Based Emotion Recognition☆63Updated last year
- Emotion recognition using DEAP dataset，GSR。☆39Updated 6 years ago
- Diploma Thesis Project on Emotion Recognition from EEG-signals☆13Updated 6 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆83Updated 3 years ago
- KNN classifier for human emotion from EEG☆24Updated 5 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆91Updated 7 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆31Updated 3 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆43Updated 6 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
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆95Updated 7 years ago
- Repo for final year project☆58Updated 5 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
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆82Updated 4 years ago
- Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-bas…☆28Updated 3 years ago
- Code to deploy a CNN to classify emotions using EEG Signals, based off the DEAP Dataset☆12Updated last year
- Realtime emotion recognition from EEG data.☆165Updated 7 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 3 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆49Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆74Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆137Updated 2 years ago