TimeSpacerRob / FBSTCNet
This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.
☆17Updated 2 months ago
Alternatives and similar repositories for FBSTCNet:
Users that are interested in FBSTCNet are comparing it to the libraries listed below
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆86Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆99Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆31Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆59Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆53Updated 10 months ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 8 months ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 years ago
- ☆30Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆68Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆108Updated 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☆24Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆46Updated 2 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆24Updated 11 months ago
- ☆72Updated 3 months ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆51Updated 2 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆55Updated 3 months ago
- eeg based emotion classification transformer on DEAP data set☆14Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆102Updated last year
- 使用4D切片方式，利用深度学习从时、频、空间域进行EEG情绪识别解码☆18Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆41Updated 4 months ago
- EEG 脑电 数据集 DEAP SEED☆21Updated 3 weeks ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆52Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆40Updated 9 months 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…☆47Updated 2 years ago
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆11Updated 10 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 6 months ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆19Updated 10 months ago