Detecting drowsiness while driving by measuring eye movement- A pilot study

Takchito Hayami, Katsuya Matsunaga, Kazunori Shidoji, Yuji Matsuki

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

54 Citations (Scopus)

Abstract

A Function to warn a drowsy driver is a prospective device to be included in the intelligent transportation systems. We compared eye closure rate (PERCLOS) with vertical eye movement frequency between wakeful and drowsy states of drivers who were driving a car in a driving simulator. Three subjects participated in the experiment. In the drowsy state condition, both measures showed high values in frequency, which was enough to distinguish between the two states with a threshold. The threshold level, which could distinguish the two states, was defined as the rate at the cross point of the curves of the two possibility density functions made by the frequency of the rates of the two measures at the two states. The distinction error was evaluated for three analysis durations. As a result of the analysis, It was found that the better measure was different for each subject.

Original languageEnglish
Title of host publicationIEEE 5th International Conference on Intelligent Transportation Systems, ITSC 2002 - Proceedings
EditorsDer-Horng Lee, Dipti Srinivasan, Ruey Long Cheu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-161
Number of pages6
ISBN (Electronic)0780373898
DOIs
Publication statusPublished - Jan 1 2002
Externally publishedYes
Event5th IEEE International Conference on Intelligent Transportation Systems, ITSC 2002 - Singapore, Singapore
Duration: Sept 3 2002Sept 6 2002

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2002-January

Other

Other5th IEEE International Conference on Intelligent Transportation Systems, ITSC 2002
Country/TerritorySingapore
CitySingapore
Period9/3/029/6/02

Keywords

  • Blink
  • Drowsy driver detection
  • Eye movements
  • Image analysis
  • Sleep onset

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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