chaklam-silpasuwanchai / EEG-Emotion-Recognition
This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.
☆27Updated 2 years ago
Related projects: ⓘ
- ☆26Updated last year
- 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
- 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
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- ☆32Updated this week
- This repository contains information on emotion recognition from eeg signals using DEAP data set☆9Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆36Updated 2 years ago
- ☆27Updated 3 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆30Updated 5 years ago
- Feature selection for DEAP data☆8Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- EEG motor imagery classification using convolutional neural networks☆31Updated last year
- Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets☆12Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 3 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- ☆18Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆17Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆52Updated 2 years ago
- My master thesis about emotion recognition form EEG data with a multimodal transformer☆20Updated last year
- Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals☆12Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆29Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆67Updated 6 years ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆35Updated 4 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆9Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆56Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆21Updated last year
- Emotion Recognition using ML methods on the SEED dataset☆19Updated 5 years 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 repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆47Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆41Updated 3 years ago