Experimental evaluation of a smartphone based Step Length estimation

Step Length (SL) is an essential parameter in the healthcare field to monitor the gait of patients affected by motor disorders such as Freezing of Gait (FoG), a motor block that provokes an interruption of the normal gait cycle. As a consequence spatio-temporal parameters of gait, in particular SL, are strongly altered before and during a FoG event. In this work we present a non-intrusive and non-invasive architecture applicable in this clinical scenario and we evaluate its reliability of SL estimation on 8 healthy subjects. We obtained mean errors of 7.77%, 6.99% and 6.44% for low, normal and high velocity respectively, which is a sufficient accuracy for FoG detection.