Correcting Air-Pressure Data Collected by MEMS Sensors in Smartphones

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">Before outlier removal</td><td align="center">After outlier removal</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">MAE</td><td align="center">1.65</td><td align="center">1.58</td></tr><tr><td align="left">RMSE</td><td align="center">2.36</td><td align="center">2.05</td></tr><tr><td align="left">TN</td><td align="center">1,470,818</td><td align="center">1,463,829</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td>MAE: mean absolute error, RMSE: root mean square error, and TN: total number of instances.<br/></td></tr></table>

Results from the linear-regression analysis in Gyeonggi-do, comparing the result before outlier removal with that after outlier removal.

Journal of Sensors

tab3

Table 3

Table 3: Correcting Air-Pressure Data Collected by MEMS Sensors in Smartphones 