A method of driving fatigue detection based on eye location

Author

Li, Liling ; Xie, Mei ; Dong, Huazhi

Author_Institution

Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2011

fDate

27-29 May 2011

Firstpage

480

Lastpage

484

Abstract

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.

Keywords

behavioural sciences computing; eye; face recognition; feature extraction; PERCOLS; active appearance model; driver fatigue monitoring system; driving fatigue detection; eye location; face position detection; facial feature points extraction; fitting algorithm; Active appearance model; Fitting; Real time systems; AAM; Drowsy driving; PERCLOS; eye location; fatigue detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6013949

Filename

6013949