Multi-sensor driver drowsiness monitoring

A system for driver drowsiness monitoring is proposed, using multi-sensor data acquisition and investigating two decision-making algorithms, namely a fuzzy inference system (FIS) and an artificial neural network (ANN), to predict the drowsiness level of the driver. Drowsiness indicator signals are s...

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Bibliographic Details

Main Authors:	Pinar Boyraz, Memis Acar, David Kerr
Format:	Default Article
Published:	2008
Subjects:	Mechanical engineering not elsewhere classified Driver monitoring Driver vigilance Signal modelling Fuzzy inference systems Mechanical Engineering not elsewhere classified Mechanical Engineering
Online Access:	https://hdl.handle.net/2134/4531
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