User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems

Juan Diego Ortega, Marcos Nieto, Luis Salgado, Oihana Otaegui

2020

Abstract

This paper presents a new method for eyelid aperture estimation, suitable to be used in Driver Monitoring Systems (DMS) to measure blink patterns such as microsleeps and any other metric that assess the fatigue level of the driver. The method has been designed to work real-time and in continuous operation, by introducing a novel online Exponential Weighted Moving Average (EWMA)-based Bayesian estimation process, which ensures dynamic adaptability to drivers with different physiognomy features, and also to changes due to physiological states (e.g. drowsiness). Our method has been implemented in the framework of a DMS, to take advantage of existing facial landmark detection and tracking mechanisms, and to provide real-time functionality for driving platforms (such as the NVIDIA Drive PX 2). The method is evaluated against a large labelled dataset, and compared to baseline and previous existing methods, showing an excellent balance between adaptability, performance, and robustness.

Paper Citation

in Harvard Style

Ortega J., Nieto M., Salgado L. and Otaegui O. (2020). User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 342-352. DOI: 10.5220/0009369003420352

in Bibtex Style

@conference{vehits20,
author={Juan Ortega and Marcos Nieto and Luis Salgado and Oihana Otaegui},
title={User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={342-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009369003420352},
isbn={978-989-758-419-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems
SN - 978-989-758-419-0
AU - Ortega J.
AU - Nieto M.
AU - Salgado L.
AU - Otaegui O.
PY - 2020
SP - 342
EP - 352
DO - 10.5220/0009369003420352