• DocumentCode
    2392786
  • Title

    Detection and prediction of drowsiness by reflexive eye movements

  • Author

    Hirata, Yutaka ; Nishiyama, Junpei ; Kinoshita, Shinichi

  • Author_Institution
    Coll. of Eng., Chubu Univ., Kasugai, Japan
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    4015
  • Lastpage
    4018
  • Abstract
    A reliable predictor of drowsiness using objective measures is desirable for machine and vehicle operations in which human errors may cause fatal accidents. We have evaluated the Vestibulo-Ocular Reflex (VOR) as a possible predictor of drowsiness. The VOR is a compensatory eye movement that stabilizes retinal image during head motion, and is inevitably induced by vibration in a car running on the road. We employed an uneventful driving simulation (DS) featuring vibration stimulation to induce both drowsiness and VOR in healthy human subjects. VOR performance was characterized by its gain and variability, and evaluated in relation to the subjects´ drowsiness. A significant decrease in VOR gain and increase in variability accompanied subjective sleepiness, with the changes occurring before subjects became aware of sleepiness. From this finding, we developed a reliable method (88.9% accuracy) to predict oncoming sleepiness using changes in VOR performance as a cue.
  • Keywords
    biomechanics; eye; prediction theory; sleep; vibrations; car; compensatory eye movement; drowsiness; head motion; predictor; reflexive eye movements; retinal image; road; subjective sleepiness; uneventful driving simulation; vestibulo-ocular reflex; vibration; Accidents, Traffic; Adult; Algorithms; Computer Simulation; Equipment Design; Eye Movements; Heart Rate; Humans; Monitoring, Ambulatory; Reflex, Vestibulo-Ocular; Reproducibility of Results; Respiration; Retina; Sleep Stages; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333504
  • Filename
    5333504