Emotion Recognition Based on Weighted Fusion Strategy of Multichannel Physiological Signals

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:3.57em"/><col style="width:6.87em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Label</td><td class="align_center">Emotion</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Sadness</td></tr><tr><td class="align_left">2</td><td class="align_center">Joy, Happiness</td></tr><tr><td class="align_left">3</td><td class="align_center">Disgust</td></tr><tr><td class="align_left">4</td><td class="align_center">Neutral</td></tr><tr><td class="align_left">5</td><td class="align_center">Amusement</td></tr><tr><td class="align_left">6</td><td class="align_center">Anger</td></tr><tr><td class="align_left">7</td><td class="align_center">Fear </td></tr><tr><td class="align_left">8</td><td class="align_center">Surprise</td></tr><tr><td class="align_left">9</td><td class="align_center">Anxiety</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>MAHNOB-HCI database recorded emotions and the corresponding labels.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Emotion Recognition Based on Weighted Fusion Strategy of Multichannel Physiological Signals 