aleksandradura / EEGSignals
Feature selection for DEAP data
☆8Updated 3 years ago
Alternatives and similar repositories for EEGSignals:
Users that are interested in EEGSignals are comparing it to the libraries listed below
- This repository contains information on emotion recognition from eeg signals using DEAP data set☆10Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- 脑电情绪识别☆13Updated 2 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
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆53Updated last year
- 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
- Feature extraction for EEG signals☆28Updated 5 years ago
- ☆36Updated 6 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Updated 2 years ago
- Emotion recognition base on EEG.☆16Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆20Updated 4 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets☆11Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 6 months ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- ☆30Updated last year
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆46Updated 5 years ago
- BCI Competition IV dataset 2a☆27Updated 5 years ago
- Code to deploy a CNN to classify emotions using EEG Signals, based off the DEAP Dataset☆11Updated last year
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆47Updated 4 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆44Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year