Driver Drowsiness Detection Using Ocular Artefacts and Alpha Band Power Variations in EEG Signal

Author:

Hossain Mohammad Rubaiyat Tanvir,Islam Tanzila,Mazumder Arpita,Khan Ainul Anam Shahjamal

Publisher

Elsevier BV

Reference46 articles.

1. Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals;M Agarwal;2019 57th Annual Allerton Conference on Communication, Control, and Computing,2019

2. Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures;S Arefnezhad;Expert Systems with Applications,2020

3. Towards an automatic drowsiness detection system by evaluating the alpha band of EEG signals;M Ben Dkhil;SAMI 2017 -IEEE 15th International Symposium on Applied Machine Intelligence and Informatics,2017

4. Power analysis of EEG bands for diagnosis of Alzheimer disease;S M Elgandelwar;International Journal of Medical Engineering and Informatics,2021

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