Detecting Method Applicable to Individual Features for Drivers' Drowsiness

Takahiro HAMADA  Kazumasa ADACHI  Tomoaki NAKANO  Shin YAMAMOTO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E87-D   No.1   pp.89-96
Publication Date: 2004/01/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision Applications)
Category: ITS
Keyword: 
drowsiness,  eyelid,  eyelid closure time,  motion picture processing,  

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Summary: 
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.