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…
☆21Updated 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 2 years ago
- ☆27Updated 7 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago
- ☆12Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆27Updated 2 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆46Updated 4 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆32Updated 8 months ago
- 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
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- Different methods(STFT, CWT) transform EEG signal into image visualization☆14Updated 4 years ago
- ☆24Updated 6 months ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- ☆15Updated last year
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 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
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆49Updated last month
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆31Updated 3 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆73Updated 6 months ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆40Updated 5 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆40Updated 5 years ago
- Global Adaptive Transformer for Cross-Subject EEG Classification.☆28Updated last year
- ☆10Updated 3 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 3 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆22Updated 3 years ago