2333-jpg / deap-cnn-lstmLinks
Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM). 
☆18Updated 3 years ago
Alternatives and similar repositories for deap-cnn-lstm
Users that are interested in deap-cnn-lstm 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…☆58Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆117Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆73Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆42Updated 6 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆81Updated 4 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆64Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆152Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 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
- Emotion Recogniton LSTM RNN Arousal Valence☆62Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆160Updated 6 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…☆129Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆94Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆37Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆134Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆36Updated 3 months 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 5 months ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 5 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- ☆32Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆80Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆90Updated 7 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- 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
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆44Updated last year