Designing an Efficient System for Emotion Recognition Using CNN

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2"> </td><td class="align_center" colspan="4">True positives</td></tr><tr class="thead"><td class="align_center">Angry</td><td class="align_center">Neutral</td><td class="align_center">Happy</td><td class="align_center">Sad</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Unbalanced dataset model</td><td class="align_center">1,289</td><td class="align_center">1,753</td><td class="align_center">1,228</td><td class="align_center">1,122</td></tr><tr><td class="align_left">Balanced dataset model</td><td class="align_center">1,362</td><td class="align_center">1,789</td><td class="align_center">1,746</td><td class="align_center">1,305</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Electrical and Computer Engineering

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Table 3

Table 3: Designing an Efficient System for Emotion Recognition Using CNN 