A Novel Martingale Based Model Using a Smartphone to Detect Gait Bout in Human Activity Recognition

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Label</td><td class="align_center">Types</td><td class="align_center">Time range</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Stand(2)</td><td class="align_center">Non-mobility</td><td class="align_center">29s-70s</td></tr><tr><td class="align_left">Walk upstairs(2)</td><td class="align_center">GB</td><td class="align_center">18s-28 s</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Overview of activities in the HAR data set.</div>

Journal of Sensors

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Table 1

Table 1: A Novel Martingale Based Model Using a Smartphone to Detect Gait Bout in Human Activity Recognition 