Driver drowsiness monitoring application with graphical user interface

Authors:
David González-Ortega;Francisco Javier Díaz-Pernas;Mario Martínez-Zarzuela;Míriam Antón-Rodríguez;Freddy José Perozo-Rondón
Affiliations:
Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain;Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain;Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain;Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain;Department of Computer Sciences, Faculty of Science and Technology, University of Carabobo, Valencia, Venezuela
Venue:
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Year:
2012

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Real-time eye, gaze, and face pose tracking for monitoring driver vigilance

Real-Time Imaging

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Abstract

In this paper, we present a computer vision-based application with Graphical User Interface (GUI) to monitor the driver alertness level in real time. Driver alertness level is robustly achieved through the detection of the eye state (open or closed) in each frame using a Multi-Layer Perceptron (MLP), which is used to measure PERCLOS (percentage of time eyelids are close). The application is implemented with a consumer-grade computer and a webcam with passive illumination. The GUI has been developed with FLTK Library and can be easily used to configure monitoring parameters, observe in real time the result of the driver monitoring, and access to log files of previous monitoring.