AstoncPou / ACRNNLinks
EEG-based Emotion Recognition via Channel-wise Attention and Self Attention
☆13Updated 4 years ago
Alternatives and similar repositories for ACRNN
Users that are interested in ACRNN are comparing it to the libraries listed below
Sorting:
- [TAFFC-2022] PyTorch implementation of TSception v2☆123Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆132Updated 3 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
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆67Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆61Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 6 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆32Updated 9 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆108Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆29Updated 2 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆74Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- ☆32Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆112Updated 4 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- ☆19Updated 4 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆41Updated 5 years ago
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆68Updated 2 months ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆40Updated 6 months ago
- ☆13Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆49Updated last month
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆81Updated 5 years ago
- ☆10Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆27Updated 3 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 5 years ago