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Detecting Method Applicable to Individual Features for Drivers' Drowsiness
Takahiro HAMADA Kazumasa ADACHI Tomoaki NAKANO Shin YAMAMOTO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/01/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision Applications)
drowsiness, eyelid, eyelid closure time, motion picture processing,
Full Text: PDF(1.6MB)>>
It is inevitable for driver assist and warning systems to consider the drivers' state of consciousness. Drowsiness is one of the important factors in estimating the drivers' state of consciousness. A Method to extract the driver's initial stage of drowsiness was developed by means of the eyelid's opening relevant to each various characteristic of objects with motion pictures processing in the actual driving environment. The result was that an increase of the long eyelid closure time was the key factor in estimating the initial stage of drivers' drowsiness while driving. And the state of drowsiness could be presumed by checking the frequencies of long eyelid closure time per unit period.