meiyor / Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals
Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner matthew.lerner@stonybrook.edu
☆48Updated 3 months ago
Alternatives and similar repositories for Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals
Users that are interested in Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals are comparing it to the libraries listed below
Sorting:
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆68Updated 3 months ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆47Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆69Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆54Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆83Updated 7 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- EEG motor imagery classification using convolutional neural networks☆35Updated 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…☆51Updated 2 years ago
- ☆30Updated 2 months ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆20Updated 4 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Updated 2 years ago
- ☆38Updated 4 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆72Updated 5 months ago
- Emotion Recognition Transformer Network Based EEG Signals.☆19Updated last year
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆13Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆43Updated last month
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- ☆31Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 3 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆51Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆55Updated 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-based emotion classification using DEAP dataset☆139Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago