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| Content Provider | ACM Digital Library |
|---|---|
| Author | Weddell, Stephen J. Jones, Richard D. Innes, Carrie R. H. Knopp, Simon J. Bones, Philip J. |
| 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. |
| Starting Page | 313 |
| Ending Page | 318 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450314732 |
| DOI | 10.1145/2425836.2425898 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-11-26 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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