anant0301 / EEG-Capsule-NetLinks
Using Capsule Network for EEG emotion classification using Digit-Caps model
☆11Updated 2 years ago
Alternatives and similar repositories for EEG-Capsule-Net
Users that are interested in EEG-Capsule-Net are comparing it to the libraries listed below
Sorting:
- This is the project of my undergraduate thesis, an enhanced Capsule Network that integrates EEG and ECG signals for improved emotion reco…☆11Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆28Updated 4 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆59Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆68Updated 2 years ago
- ☆32Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated 2 weeks ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 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…☆54Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆76Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆75Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- Emotion recognition base on EEG.☆17Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆112Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆125Updated last year
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆16Updated last year
- ☆21Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆55Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆82Updated last month
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 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 …☆19Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- EEG-based emotion classification using DEAP dataset☆148Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆44Updated 8 months ago
- 在 SEED 数据集上做 EEG 情绪识别☆112Updated 4 years ago