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

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">p@1</td><td class="align_center">p@5</td><td class="align_center">MRR</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Naive</td><td class="align_center">0.05313</td><td class="align_center">0.27189</td><td class="align_center">0.17212</td></tr><tr><td class="align_left">SM</td><td class="align_center">0.07234</td><td class="align_center">0.30077</td><td class="align_center">0.19238</td></tr><tr><td class="align_left">FS</td><td class="align_center">0.12409</td><td class="align_center">0.37591</td><td class="align_center">0.25054</td></tr><tr><td class="align_left">FSS</td><td class="align_center">0.13509</td><td class="align_center">0.40414</td><td class="align_center">0.26204</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wireless Communications and Mobile Computing

tab9

Table 9

Table 9: A Spatial-Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models 