Towards a Brain-Sensitive Intelligent Tutoring System: Detecting Emotions from Brainwaves

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Wave</td><td align="center">Frequency</td><td align="left">Mental state</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Beta<sub>1</sub></td><td align="center">12–15 Hz</td><td align="left">Relaxed focus; improved attention.</td></tr><tr><td align="left">Beta<sub>2</sub></td><td align="center">15–20 Hz</td><td align="left">Vigilance; logical reasoning; conscious attention.</td></tr><tr><td align="left">Beta<sub>3</sub></td><td align="center">&gt;20 Hz</td><td align="left">Fully awakened state; vigilance; tension-anxiety-stress; confusion; irritability; psychosomatic problems.</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Advances in Artificial Intelligence

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Table 2

Table 2: Towards a Brain-Sensitive Intelligent Tutoring System: Detecting Emotions from Brainwaves 