Fig 1.
Basic Architecture of the Fall Detection System.
Fig 2.
Experimental subject with the multisensory system.
Table 1.
Comparison of the obtained results for the different detection algorithms (considering all the samples) as a function of the sensors considered to generate the detection decision: BT (Basic Thresholding), iFall, FI (Fall Index), PerF (PerFallD).
Fig 3.
ROC curves obtained for the best and worst combinations of sensor positions and algorithms for the cases where samples generated by hops are included and excluded from the test ADLs.
Table 2.
Comparison of the obtained results for the different detection algorithms (without considering the ADL samples generated by hopping) as a function of the considered sensors: BT (Basic Thresholding), iFall, FI (Fall Index), PerF (PerFallD).