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Facial recognition system for driver vigilance mlonitoring

Authors: H. J. Dikkers; M. A. Spaans; Dragos Datcu; Mirko Novak; Léon J. M. Rothkrantz;

Facial recognition system for driver vigilance mlonitoring

Abstract

Many automobile accidents are related to drivers lacking required levels of vigilance to properly control their vehicles. In this paper we present a system that monitors the activity of parts of the face, in particular the eyes, in order to predict expressions of somnolence. The input to the system is a sequence of images of the face of a car driver, captured by a video camera. The system makes an assessment based on the movement and position of the eyes and eyelids. The system is tested in a car simulation environment. The results are presented.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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