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.☆19Updated 8 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆77Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆68Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆112Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆134Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆148Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆76Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆113Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 3 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆57Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 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☆26Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆79Updated 3 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆61Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 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…☆54Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆83Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition