Reducing Smartwatch Users’ Distraction with Convolutional Neural Network

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Number of users</td><td class="align_center">13 (10 males and 3 females)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Age</td><td class="align_center">24, 25 (4), 26, 27 (2), 29, 30 (2), 34, and 35</td></tr><tr><td class="align_left">Occupation</td><td class="align_center">Students (9), office workers (3), and others (1)</td></tr><tr><td class="align_left">Smartphone</td><td class="align_center">Galaxy-s6 (3), Galaxy-s4 (2), Galaxy-note 3, Galaxy-note (2), Galaxy-a8, Galaxy-a7, Galaxy-Grand Max, Nexus 5, and Nexus 5x</td></tr><tr><td class="align_left">Smartwatch</td><td class="align_center">LG-Urbane W150 (13)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mobile Information Systems

tab1

Table 1

Table 1: Reducing Smartwatch Users’ Distraction with Convolutional Neural Network 