Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="1"><hr/></td></tr><tr><td class="align_left">If theta is high and alpha, beta, gamma is low then emotion is stability</td></tr><tr><td class="align_left">If alpha is high, and beta, theta, gamma is low then emotion is relaxation</td></tr><tr><td class="align_left">If beta is high and alpha, theta, gamma is low then emotion is tension</td></tr><tr><td class="align_left">If gamma is high and alpha, beta, theta is low then emotion is excitement</td></tr><tr class="table-tr"><td colspan="1"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The fuzzy condition using EEG data.</div>

Journal of Advanced Transportation

tab2

Table 2

Table 2: Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles 