Real-time driver drowsiness detection system based on PERCLOS and grayscale image processing

Jun Juh Yan, Hang Hong Kuo, Ying Fan Lin, Teh Lu Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

This study develops a real-time drowsiness detection system based on grayscale image processing and PERCLOS to determine if the driver is fatigued. The proposed system comprises three parts: first, it calculates the approximate position of the driver's face in grayscale images, and then uses a small template to analyze the eye positions, second, it uses the data from the previous step and PERCLOS to establish a fatigue model, and finally, based on the driver's personal fatigue model, the system continuously monitors the driver's state. Once the driver exhibits fatigue, the system alerts the driver to stop driving and take a rest.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-246
Number of pages4
ISBN (Electronic)9781509030712
DOIs
Publication statusPublished - 2016 Aug 16
Event2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 - Xi'an, China
Duration: 2016 Jul 42016 Jul 6

Publication series

NameProceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016

Other

Other2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
CountryChina
CityXi'an
Period16-07-0416-07-06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Control and Optimization

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