Publications by authors named "Sreeza Tarafder"
Sensors (Basel)
June 2022
Article Synopsis
- Drowsiness is a significant factor contributing to road accidents, leading to interest in using EEG signals for detection.
- This study explores extracting useful features from EEG ocular artifacts, typically discarded as noise, to differentiate between alert and drowsy states.
- By applying the BLINKER algorithm to a dataset from 12 participants and optimizing various machine learning models, the research achieved a peak accuracy of 91.10% in classifying drowsiness based on these features.
