title: Driver fatigue detection based on eye state.
abstract: BACKGROUND
  Nowadays, more and more traffic accidents occur because of driver fatigue.
  
  
  OBJECTIVE
  In order to reduce and prevent it, in this study, a calculation method using PERCLOS (percentage of eye closure time) parameter characteristics based on machine vision was developed. It determined whether a driver's eyes were in a fatigue state according to the PERCLOS value.
  
  
  METHODS
  The overall workflow solutions included face detection and tracking, detection and location of the human eye, human eye tracking, eye state recognition, and driver fatigue testing. The key aspects of the detection system incorporated the detection and location of human eyes and driver fatigue testing. The simplified method of measuring the PERCLOS value of the driver was to calculate the ratio of the eyes being open and closed with the total number of frames for a given period.
  
  
  RESULTS
  If the eyes were closed more than the set threshold in the total number of frames, the system would alert the driver.
  
  
  CONCLUSIONS
  Through many experiments, it was shown that besides the simple detection algorithm, the rapid computing speed, and the high detection and recognition accuracies of the system, the system was demonstrated to be in accord with the real-time requirements of a driver fatigue detection system.
authors.forename: Lizong
authors.initials: L
authors.lastname: Lin
authors.forename: Chao
authors.initials: C
authors.lastname: Huang
authors.forename: Xiaopeng
authors.initials: X
authors.lastname: Ni
authors.forename: Jiawen
authors.initials: J
authors.lastname: Wang
authors.forename: Hao
authors.initials: H
authors.lastname: Zhang
authors.forename: Xiao
authors.initials: X
authors.lastname: Li
authors.forename: Zhiqin
authors.initials: Z
authors.lastname: Qian
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D000465:Algorithms; D001334:Automobile Driving; D005133:Eye Movements / Q000502:physiology*; D005221:Fatigue / Q000503:physiopathology*; D006801:Humans; D018670:Monitoring, Ambulatory / Q000379:methods
keywords: Driver fatigue detecting; PERCLOS; eyes detecting and locating