luisevogt / Emotion-Recognition-from-EEG-Data-with-Time-Series-TransformersLinks
My master thesis about emotion recognition from EEG data with a time series transformer
☆22Updated 2 years ago
Alternatives and similar repositories for Emotion-Recognition-from-EEG-Data-with-Time-Series-Transformers
Users that are interested in Emotion-Recognition-from-EEG-Data-with-Time-Series-Transformers are comparing it to the libraries listed below
Sorting:
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆94Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆71Updated last year
- 硕士期间课题研究记录☆17Updated 2 years ago
- ☆32Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆112Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆71Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆78Updated 3 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆34Updated 2 months ago
- Emotion recognition base on EEG.☆18Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆41Updated 6 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆133Updated 4 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆68Updated last month
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆43Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated 2 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 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☆27Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆52Updated last week
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆64Updated 2 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆18Updated last year
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Updated 2 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆14Updated 5 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆19Updated 9 months ago
- ☆37Updated 10 months ago