Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">7 YAWDD (videos)</td><td class="align_center">Face detection (%)</td><td class="align_center">Eye status (%)</td><td class="align_center">Mouth status (%)</td><td class="align_center">Yawning detection (%)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Detection accuracy</td><td class="align_center">100</td><td class="align_center">94</td><td class="align_center">95</td><td class="align_center">94.5</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Online YAWDD videos’ dataset analysis.</div>

Applied Computational Intelligence and Soft Computing

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Table 6

Table 6: Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection 