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. © 2012 Springer-Verlag.
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González-Ortega, D., Díaz-Pernas, F. J., Martínez-Zarzuela, M., Antón-Rodríguez, M., & Perozo-Rondón, F. J. (2012). Driver drowsiness monitoring application with graphical user interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7656 LNCS, pp. 359–366). https://doi.org/10.1007/978-3-642-35377-2_50
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