AstoncPou / ACRNNLinks
EEG-based Emotion Recognition via Channel-wise Attention and Self Attention
☆14Updated 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☆130Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆134Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆67Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆76Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆70Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- ☆32Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆40Updated 6 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆117Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated last month
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆29Updated 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…☆62Updated 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…☆54Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆111Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆79Updated 3 years ago
- ☆11Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆79Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆75Updated 4 months ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Updated 5 years ago
- Emotion recognition base on EEG.☆17Updated 2 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆50Updated 3 months ago
- Emotion Recogniton LSTM RNN Arousal Valence☆57Updated 2 years ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆43Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆15Updated 3 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆40Updated 8 months ago
- ☆19Updated 5 years ago