2333-jpg / deap-cnn-lstmLinks
Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).
☆18Updated 4 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…☆59Updated 3 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆155Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆62Updated 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…☆66Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆88Updated 3 years ago
- EEG Emotion classification using the DEAP pre-processed data☆163Updated 7 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆116Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆77Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆89Updated 6 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 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…☆132Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆144Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆138Updated 4 years ago
- Confronto fra cinque diversi modelli di machine learning per il riconoscimento delle emozioni usando rivelazioni EEG e movimento oculare …☆11Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆93Updated 8 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆51Updated last year
- 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…☆40Updated 7 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 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☆39Updated 2 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆49Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆122Updated 2 years ago
- ☆21Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 5 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆73Updated last year