officialarijit / RECS
Real-time Emotion Recognition using Physiological signals in e-Learning Here one can find the development of realtime emotion recognition using various physiological signals
☆21Updated 8 months ago
Alternatives and similar repositories for RECS:
Users that are interested in RECS 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…☆46Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆45Updated last year
- ☆30Updated 3 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
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆36Updated 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…☆111Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆67Updated 3 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆30Updated last year
- 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
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆30Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated last year
- Emotion recognition from EEG and physiological signals using deep neural networks☆46Updated 6 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆65Updated 2 years ago
- Emotion recognition using DEAP dataset,GSR。☆37Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆77Updated 7 years ago
- Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals☆12Updated 3 years ago
- Emotional recognition using electroencephelography (EEG)☆15Updated 6 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-bas…☆23Updated 2 years ago
- 脑电情绪识别☆13Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆138Updated 6 years ago
- ☆31Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆95Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆19Updated 4 years ago
- ☆36Updated 3 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆46Updated 3 years ago
- Feature selection for DEAP data☆8Updated 2 years ago
- ☆103Updated 5 years ago