https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Daniluk_et_al_2014aDaniluk et al 2014a - Revision history2026-06-23T23:13:01ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Daniluk_et_al_2014a&diff=174547&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 646707884 to Daniluk et al 2014a2020-10-14T12:42:49Z<p>Scipediacontent moved page <a href="/public/Draft_Content_646707884" class="mw-redirect" title="Draft Content 646707884">Draft Content 646707884</a> to <a href="/public/Daniluk_et_al_2014a" title="Daniluk et al 2014a">Daniluk et al 2014a</a></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<tr style='vertical-align: top;' lang='en'>
<td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 12:42, 14 October 2020</td>
</tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div>
</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Daniluk_et_al_2014a&diff=174546&oldid=prevScipediacontent: Created page with " == Abstract == Fatigue and driver drowsiness monitoring is an important subject for designing driver assistance systems. The measurement of eye closure is a fundamental step..."2020-10-14T12:42:47Z<p>Created page with " == Abstract == Fatigue and driver drowsiness monitoring is an important subject for designing driver assistance systems. The measurement of eye closure is a fundamental step..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
<br />
Fatigue and driver drowsiness monitoring is an important subject for designing driver assistance systems. The measurement of eye closure is a fundamental step for driver awareness detection. We propose a method which is based on eyelid detection and the measurement of the distance between the eyelids. First, the face and the eyes of the driver are localized. After extracting the eye region, the proposed algorithm detects eyelids and computes the percentage of eye closure. Experimental results are performed on the BioID database. Our comparisons show that the proposed method outperforms state-of-the-art methods.<br />
<br />
Document type: Part of book or chapter of book<br />
<br />
== Full document ==<br />
<pdf>Media:Draft_Content_646707884-beopen609-7674-document.pdf</pdf><br />
<br />
<br />
== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [http://eprints.whiterose.ac.uk/157583/1/Eye-Status-Based-on-Eyelid.pdf http://eprints.whiterose.ac.uk/157583/1/Eye-Status-Based-on-Eyelid.pdf]</div>Scipediacontent