A Spatial-Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Entry</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Number of APs</td><td class="align_center">67</td></tr><tr><td class="align_left">Number of associations</td><td class="align_center">907,084</td></tr><tr><td class="align_left">Number of shops</td><td class="align_center">200</td></tr><tr><td class="align_left">Number of shop categories</td><td class="align_center">34</td></tr><tr><td class="align_left">Number of trajectories</td><td class="align_center">261,369</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wireless Communications and Mobile Computing

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Table 5

Table 5: A Spatial-Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models 