Bro-Lin / eeg-based-emotion-classification-transformerLinks
eeg based emotion classification transformer on DEAP data set
☆15Updated 3 years ago
Alternatives and similar repositories for eeg-based-emotion-classification-transformer
Users that are interested in eeg-based-emotion-classification-transformer are comparing it to the libraries listed below
Sorting:
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆78Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆91Updated 3 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆23Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆157Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆85Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 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…☆66Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆122Updated 5 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 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
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆141Updated 4 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…☆60Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆127Updated 2 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☆147Updated 2 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆160Updated 2 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Updated 3 years ago
- EEG Emotion classification using the DEAP pre-processed data☆164Updated 7 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- Confronto fra cinque diversi modelli di machine learning per il riconoscimento delle emozioni usando rivelazioni EEG e movimento oculare …☆13Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 6 months ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆26Updated last year
- EEG-Based Emotion Recognition☆66Updated last year
- code for LMDA☆87Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆100Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago