meiyor / SincNet-for-Autism-EEG-based-Emotion-Recognition
This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more details and data request send an email to the authors and contributors Juan Manuel Mayor Torres (juan.mayortorres@unitn.it) and Mirco Ravanelli (Mila…
☆62Updated last month
Related projects ⓘ
Alternatives and complementary repositories for SincNet-for-Autism-EEG-based-Emotion-Recognition
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆45Updated 8 months ago
- PyTorch implementation of TSception☆68Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆29Updated 2 years ago
- A list of papers for emotion recognition using machine learning/deep learning.☆54Updated 3 years ago
- ☆24Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆61Updated 11 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆49Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- ☆37Updated 3 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆42Updated last year
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆36Updated 5 months ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆83Updated 8 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆59Updated 2 years ago
- ☆29Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆25Updated last month
- ☆35Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆64Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- ☆12Updated last year
- ☆12Updated 3 years ago
- ACM MM 2023☆32Updated 3 weeks ago
- EEG motor imagery classification using convolutional neural networks☆34Updated last year
- PyTorch EEG emotion analysis using DEAP dataset☆74Updated 6 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆42Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆44Updated 3 years ago
- code for LMDA☆66Updated last year