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:
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 6 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆72Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆67Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- 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 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆32Updated 8 months ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆111Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆73Updated 10 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- code for LMDA☆81Updated last year
- ☆38Updated 4 years ago
- Classification of emotions based on eeg signals using deep learning and algorithms like LSTM and others☆10Updated 5 months ago
- A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.☆11Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆60Updated last year
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- ☆36Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago