Project R-14969
Title
Enhanced EEG-Based Data Processing Pipeline for Realtime Driver Drowsiness Detection (Research)
Abstract
Sleep is essential for humans, yet its deprivation can impair cognitive abilities, posing risks, particularly in
activities like driving. Drowsy driving significantly endangers road safety. This research addresses road safety
concerns by developing a novel EEG-based driver drowsiness detection technique. This study aims to mitigate
drowsy driving risks, contributing significantly to overall road safety standards. The research focuses on
enhancing accuracy and responsiveness in real-world driving conditions, including offline and online testing
and continuous model refinement. Successful completion of this research will lay the foundation for an EEGbased
Advanced Driver Assistance System (ADAS) module designed for drowsiness detection which can be
used to mitigate risks and enhance road safety.
Period of project
01 October 2024 - 30 June 2026