yunzinan / BCI-emotion-recognition
A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.
☆9Updated last year
Alternatives and similar repositories for BCI-emotion-recognition:
Users that are interested in BCI-emotion-recognition are comparing it to the libraries listed below
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆89Updated last year
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆25Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆61Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 5 months ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆51Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆54Updated 11 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- ☆30Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆102Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 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…☆48Updated 2 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☆24Updated 2 years ago
- This project is the code of BF-GCN. The paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems.☆16Updated 8 months ago
- Emotion recognition base on EEG.☆16Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆36Updated last year
- Emotion Recognition Transformer Network Based EEG Signals.☆17Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆17Updated 3 months ago
- ☆13Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆108Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 7 months 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
- 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
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 8 months ago