Research Article

Preimpact Fall Detection for Elderly Based on Fractional Domain

Table 11

of the trained SVM model composed of the angular velocity var. and other features.

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

Max0.9770.9740.9740.9740.9710.9710.9710.9690.971
MA0.9770.9740.9740.9740.9710.9710.9710.9690.971
Range0.9770.9770.9740.9740.9710.9710.9710.9690.971
Std.0.9770.9770.9740.9740.9740.9710.9710.9690.971
Var.0.9740.9740.9740.9740.9710.9710.9690.9690.969
RMS0.9710.9710.9710.9710.9690.9690.9690.9690.969
IQR0.9710.9710.9710.9710.9690.9660.9640.9640.964
Mean0.9690.9710.9690.9690.9690.9690.9690.9690.969
PM0.9710.9690.9660.9690.9690.9690.9660.9660.966
PN0.9610.9580.9530.9530.9530.9480.9480.9450.945
Max0.9660.9610.9610.9580.9530.9480.9510.9430.721
MA0.9660.9640.9610.9580.9530.9480.9530.9430.938
Range0.9660.9640.9610.9560.9530.9480.9530.9450.922
Std.0.9610.9610.9530.9530.9530.9530.94800
Var.0.9580.9580.9530.9530.9530.9480.8640.9090.919
RMS0.9690.9610.9560.9530.9510.9480.9530.9690.953
IQR0.9640.9610.9610.9580.9530.9530.9480.9450.945
Mean0.9770.9640.9580.9530.9510.9530.9560.9610.958
PM0.9610.9610.9580.9530.9510.9480.9480.9450.945
PN0.9580.9560.9530.9610.9480.9480.9450.9450.280