Paper Info
Title
A miniature head-mounted camera for measuring eye closure
Abstract
This paper describes a miniature camera module for capturing close-up video of one eye and the image processing steps to locate the pupil and measure eye closure from this video. This camera is one component of a multi-sensory device for measuring drowsiness and detecting complete momentary lapses of responsiveness. We describe a flood-fill-based algorithm for locating the pupil and shape-based criteria for determining whether the pupil is partly covered by the eyelid. Percentage eye closure (PERCLOS) is implemented as an example of a meaningful measurement that can be derived from this extracted pupil data. Preliminary results show that the algorithm produces output very close to that obtained by manual frame-by-frame classification of the eye video.
Year
DOI
Venue
2012
10.1145/2425836.2425898
IVCNZ
Keywords
Field
DocType
flood-fill-based algorithm,miniature camera module,pupil data,image processing step,close-up video,percentage eye closure,miniature head-mounted camera,complete momentary lapse,measure eye closure,manual frame-by-frame classification,eye video,face recognition,genealogy
Eyelid,Computer vision,Facial recognition system,Computer graphics (images),Camera module,Computer science,Pupil,Image processing,Eye closure,Eye tracking,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
5
Name
Order
Citations
PageRank
Simon J. Knopp100.34
Philip J. Bones2124.80
S. J. Weddell3135.76
Carrie R. H. Innes4203.59
Richard D. Jones5589.10