cuijiancorbin / EEG-based-Cross-Subject-Driver-Drowsiness-Recognition-with-an-Interpretable-CNNLinks
Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "InterpretableCNN" that allows sample wise analysis of important features for classification. The model not only achieves SOTA classification accuracy of EEG signals but also reveals meaningful features from EEG…
☆19Updated 3 years ago
Alternatives and similar repositories for EEG-based-Cross-Subject-Driver-Drowsiness-Recognition-with-an-Interpretable-CNN
Users that are interested in EEG-based-Cross-Subject-Driver-Drowsiness-Recognition-with-an-Interpretable-CNN are comparing it to the libraries listed below
Sorting:
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- Emotion recognition base on EEG.☆16Updated 2 years ago
- ☆15Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago
- ☆30Updated 2 months ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆46Updated 4 years ago
- ☆12Updated last year
- ☆28Updated 6 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated last month
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 2 years ago
- ☆23Updated 6 months ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆27Updated 2 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- ☆13Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 8 months ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆16Updated last year
- ☆27Updated 7 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆73Updated 6 months ago
- A toolbox for EEG signals processing. Welcome to join and build!☆12Updated 2 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆47Updated 2 weeks ago
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆13Updated last year
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 5 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆93Updated last year
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 11 months ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆39Updated 5 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago