An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Open eyes</td><td class="align_center">Closed eyes</td><td class="align_center">Total images</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">24000</td><td class="align_center">24000</td><td class="align_center">48000</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Extraction of open eyes and closed eyes in MRL dataset.</div>

Mathematical Problems in Engineering

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Table 3

Table 3: An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM 