Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Accuracy (%)</td><td class="align_center">Memory (MB)</td><td class="align_center">CPU (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Tensorflow</td><td class="align_center">98</td><td class="align_center">317.9</td><td class="align_center">76.7</td></tr><tr><td class="align_left">Tensorflow Lite</td><td class="align_center">82</td><td class="align_center">121.8</td><td class="align_center">30.1</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance evaluation of two models.</div>

Journal of Electrical and Computer Engineering

tab5

Table 5

Table 5: Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications 