JoeBao22 / eeg_seed_test
The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalography(EEG).
☆47Updated last year
Related projects: ⓘ
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆56Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆30Updated 5 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆87Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆63Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆110Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆57Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆52Updated 2 years ago
- Emotion Recognition using ML methods on the SEED dataset☆19Updated 5 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆22Updated 3 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆90Updated 3 years ago
- ☆32Updated this week
- 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…☆43Updated last year
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆37Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆49Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆11Updated 10 months ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆14Updated last year
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆17Updated 6 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆78Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- ☆39Updated last year
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆21Updated last year
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆43Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆59Updated 3 years ago
- My master thesis about emotion recognition form EEG data with a multimodal transformer☆20Updated last year
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆54Updated last year
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆31Updated 2 months ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆72Updated 4 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆85Updated 11 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆43Updated last year