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
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