HYQHUANGYUNQI / Enhanced-Capsule-Network-for-Emotion-Recognition
This is the project of my undergraduate thesis, an enhanced Capsule Network that integrates EEG and ECG signals for improved emotion recognition accuracy.
☆10Updated last year
Alternatives and similar repositories for Enhanced-Capsule-Network-for-Emotion-Recognition:
Users that are interested in Enhanced-Capsule-Network-for-Emotion-Recognition are comparing it to the libraries listed below
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆10Updated 4 years ago
- ☆14Updated last year
- 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
- Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals☆12Updated 3 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated 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
- Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.☆59Updated last year
- ☆30Updated last year
- EEG 脑电 数据集 DEAP SEED☆22Updated last month
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆61Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆54Updated 11 months ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆33Updated 3 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆20Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆51Updated 2 years ago
- ☆18Updated 4 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆40Updated 10 months ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆25Updated last year
- It is an emotion detection with EEG and ECG signals.☆38Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆38Updated 5 years ago
- ☆30Updated 3 years ago
- Emotion recognition base on EEG.☆16Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆83Updated 5 years ago
- 脑电情绪识别☆13Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆104Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆103Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆89Updated last year