A VISION-BASED SYSTEM FOR MONITORING DRIVER FATIGUE

Main Authors: Aryuanto, Aryuanto, Limpraptono, F. Yudi
Format: Article PeerReviewed Book
Bahasa: eng
Terbitan: Department of Electrical Engineering, National Institute of Technology, Malang, Indonesia , 2009
Subjects:
Online Access: http://eprints.itn.ac.id/3714/1/1.%20paper%20teknoin%202009.pdf
http://eprints.itn.ac.id/3714/2/3.%20peer%20review%20teknoin%202009.pdf
http://eprints.itn.ac.id/3714/3/2.%20cek%20plagiasi%20teknoin%202009.pdf
http://eprints.itn.ac.id/3714/
Daftar Isi:
  • Abstract This paper presents a vision-based system for monitoring driver fatigue. The system is divided into three stages: face detection, eye detection, and fatigue detection. Face detection based on the skin color segmentation is used to localize face image from a whole image. To overcome the normalized RGB chromaticity diagram is adopted. After face is localized, eye is detected by PERCLOS (percentage of eye closure over time) is calculated and used to detect a fatigue condition. Keywords : Driver fatigue, machine vision, face detection, eye detecton, fatigue detection.