AstoncPou / ACRNNLinks
EEG-based Emotion Recognition via Channel-wise Attention and Self Attention
☆12Updated 4 years ago
Alternatives and similar repositories for ACRNN
Users that are interested in ACRNN are comparing it to the libraries listed below
Sorting:
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆27Updated 3 weeks ago
- ☆30Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆54Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 8 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆119Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- 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☆23Updated 2 years ago
- ☆18Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆39Updated 5 months ago
- ☆13Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆33Updated last year
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆62Updated 3 weeks ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆48Updated last 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…☆51Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- DL model estimating vigilance levels using multimodal EEG and EOG☆27Updated 2 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆93Updated last year
- ☆10Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 5 months ago
- ☆22Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 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
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago