Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game

<table class="fixed-width table-group" id="tab3"><tr><td><table class="table"><colgroup><col style="width:4.36em"/><col style="width:7.43em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Version</td><td class="align_center">Collected coins</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">2.13 ± 1.22</td></tr><tr><td class="align_left">2</td><td class="align_center">4.00 ± 0.00</td></tr><tr><td class="align_left">3</td><td class="align_center">2.10 ± 1.30</td></tr><tr><td class="align_left">4</td><td class="align_center">2.00 ± 1.39</td></tr><tr><td class="align_left">5</td><td class="align_center">1.97 ± 1.19</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Average number of coins collected in each version of the game.</div>

Computational Intelligence and Neuroscience

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Table 3

Table 3: Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game 