Research Article

Preimpact Fall Detection for Elderly Based on Fractional Domain

Table 12

The test result of the above model, .

Feature0.1 order0.2 order0.3 order0.4 order0.5 order0.6 order0.7 order0.8 order0.9 order

Max0.9710.9690.9710.9710.9710.9690.9690.9650.967
MA0.9710.9690.9710.9710.9710.9690.9690.9650.967
Range0.9730.9730.9710.9710.9710.9690.9710.9650.967
Std.0.9690.9730.9710.9710.9710.9710.9690.9670.965
Var.0.9710.9710.9710.9710.9690.9690.9690.9670.967
RMS0.9630.9630.9650.9650.9650.9650.9650.9650.965
IQR0.9590.9670.9670.9610.9470.9410.9350.9390.939
Mean0.9610.9590.9590.9530.9570.9570.9590.9650.963
PM0.9590.9590.9550.9430.9370.9430.9510.9450.953
PN0.9290.9330.9290.9330.9310.9290.9310.9330.937
Max0.9310.9310.9330.9310.9310.9310.9310.9330.268
MA0.9310.9330.9330.9310.9310.9310.9310.9350.935
Range0.9330.9330.9310.9310.9290.9310.9310.9310.953
Std.0.9290.9310.9310.9310.9310.9310.9310.0060.0260
Var.0.9290.9290.9310.9310.9310.9310.3530.9420.949
RMS0.9250.9290.9290.9290.9310.9330.8770.9330.846
IQR0.9290.9290.9290.9310.9370.9270.9270.9350.933
Mean0.8940.9250.9290.9290.9310.9310.8810.9390.877
PM0.9310.9290.9290.9270.9310.9330.9330.9330.933
PN0.9310.9290.9330.9310.9310.9330.9330.9330.362