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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Variable</td><td class="align_center">Type</td><td class="align_center">Fuzzy set</td><td class="align_center">Membership function</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Eye state</td><td class="align_center">Input</td><td class="align_center">Open, half open, and close</td><td class="align_center">Trapezoidal</td></tr><tr><td class="align_left">Moth state</td><td class="align_center">Input</td><td class="align_center">Open, half open, and close</td><td class="align_center">Trapezoidal</td></tr><tr><td class="align_left">Drowsy level</td><td class="align_center">Output</td><td class="align_center">Low, medium, and high</td><td class="align_center">Trapezoidal</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Linguistic variables and terms for the inputs and output.</div>

Applied Computational Intelligence and Soft Computing

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Table 3

Table 3: Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection 