cuijiancorbin / Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTMView on GitHub
In this project, we propose a CNN-LSTM model to classify single-channel EEG for driver drowsiness detection. We designed a visualization technique by taking advantage of the hidden states output by the LSTM layer. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles, as …
☆15Nov 21, 2021Updated 4 years ago
Alternatives and similar repositories for Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM
Users that are interested in Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Aug 13, 2021Updated 5 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆13Nov 2, 2020Updated 5 years ago
- A toolbox for EEG signals processing. Welcome to join and build!☆13Nov 9, 2022Updated 3 years ago
- Deployed a facial emotion recognition using neural network model which predicts the emotion from faces in images, videos and live feed fr…☆12May 2, 2021Updated 5 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆30Mar 15, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- EEG-Based Binary Classification of Normal and Depression Patients using CNN☆16Jun 21, 2023Updated 3 years ago
- Code to deploy a CNN to classify emotions using EEG Signals, based off the DEAP Dataset☆11Mar 2, 2024Updated 2 years ago
- FFDN: fused fuzzy deep neural network (PyTorch)☆21Aug 10, 2021Updated 5 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆15Jan 11, 2021Updated 5 years ago
- DL model estimating vigilance levels using multimodal EEG and EOG☆33Jul 7, 2022Updated 4 years ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆32Mar 9, 2022Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆74Apr 30, 2024Updated 2 years ago
- EEG Features to be extract from raw data.☆27Mar 30, 2017Updated 9 years ago
- Building an efficient music recommendation system which determines the emotion of user using Facial Recognition techniques.☆13Jul 23, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆31Aug 30, 2020Updated 6 years ago
- 心理测试平台 - 前端 | Psychological test platform - front end☆13Jul 5, 2022Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Oct 27, 2022Updated 3 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…☆62Dec 9, 2022Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆80Feb 22, 2023Updated 3 years ago
- EEG emotion recognition based on Temporal convolutional network☆25Mar 10, 2019Updated 7 years ago
- Attention-based LSTM, CNN and CNN+LSTM model for running fatigue detection with IMU Python3.7.9 TensorFlow2.0 Anaconda with Jupyter Panda…☆14Jun 17, 2025Updated last year
- Based on EEG signal, the differential entropy feature is extracted, and the convolution neural network based on time domain network and a…☆13Sep 21, 2022Updated 3 years ago
- PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.☆12Aug 4, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Public EEG-based motor imagery (MI) datasets☆13Feb 1, 2024Updated 2 years ago
- EEG/MEG data preprocessing and analyses framework☆13May 2, 2022Updated 4 years ago
- Various automated MATLAB pipelines for preprocessing EEG☆13Feb 25, 2020Updated 6 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆77May 30, 2022Updated 4 years ago
- LSTM Autoencoder that works with variable timesteps☆16Aug 24, 2018Updated 8 years ago
- ☆32Apr 10, 2021Updated 5 years ago
- This is my paper.☆13Jun 24, 2023Updated 3 years ago
- An implementation of several transfer learning algorithms☆20Jul 18, 2022Updated 4 years ago
- A source code for "VIGNet: A deep convolutional neural network for EEG-based driver vigilance estiamtion"☆14May 15, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆10Apr 27, 2021Updated 5 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆39Jul 24, 2025Updated last year
- AutoGRD is a meta-learning method for algorithm recommendation☆16Nov 26, 2019Updated 6 years ago
- LiteHAR: LIGHTWEIGHT HUMAN ACTIVITY RECOGNITION FROM WIFI SIGNALS WITH RANDOM CONVOLUTION KERNELS☆13Jan 25, 2022Updated 4 years ago
- CRsAE (constrained recurrent sparse autoencoder)☆16Jul 10, 2026Updated 2 months ago
- ☆15Jul 1, 2020Updated 6 years ago
- ☆16Sep 6, 2018Updated 8 years ago