A method of driving fatigue detection based on eye location

A method of driving fatigue detection based on eye location

For a driver fatigue monitoring system, one of the most important problems to solve is eye location. This paper presents a method of eye location based on AAM and a method of driver fatigue detection based on an improved method to calculate PERCOLS. AAM (Active Appearance Model) model is composited...

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Hauptverfasser: Liling Li, Mei Xie, Huazhi Dong
Format: Tagungsbericht
Sprache:eng ; jpn
Schlagworte:
AAM
Active appearance model
Drowsy driving
eye location
fatigue detection
Fitting
PERCLOS
Real time systems
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Mei Xie
Huazhi Dong
description For a driver fatigue monitoring system, one of the most important problems to solve is eye location. This paper presents a method of eye location based on AAM and a method of driver fatigue detection based on an improved method to calculate PERCOLS. AAM (Active Appearance Model) model is composited by the appearance model and fitting algorithm which is an efficient algorithm to extract facial feature points. First establish the AAM model, then use the fitting algorithm to detect the position of face and locate the position of eye, next calculate the improved physical PERCLOS which is used to measure the driver fatigue to determine the current state of driver is fatigue or not.
doi_str_mv 10.1109/ICCSN.2011.6013949
format Conference Proceeding
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language eng ; jpn
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subjects AAM
Active appearance model
Drowsy driving
eye location
fatigue detection
Fitting
PERCLOS
Real time systems
title A method of driving fatigue detection based on eye location
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