Meltemi-Q / eeg-emotion-recognition-domain-subject-adaptation
EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset
☆39Updated 5 years ago
Alternatives and similar repositories for eeg-emotion-recognition-domain-subject-adaptation:
Users that are interested in eeg-emotion-recognition-domain-subject-adaptation 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…☆51Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆109Updated 4 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆50Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 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…☆54Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆106Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆91Updated last year
- EEG-based emotion classification using DEAP dataset☆138Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆117Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 7 months ago
- ☆30Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆126Updated 3 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆25Updated last year
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆106Updated last year
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 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
- ☆31Updated 4 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆20Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago