title: Experimental evaluation of a smartphone based Step Length estimation.
abstract: 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.
authors.forename: Lucia
authors.initials: L
authors.lastname: Pepa
authors.forename: Federica
authors.initials: F
authors.lastname: Verdini
authors.forename: Luca
authors.initials: L
authors.lastname: Spalazzi
mesh_terms: D061725:Accelerometry; D000328:Adult; D000465:Algorithms; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D008297:Male; D015203:Reproducibility of Results; D000068997:Smartphone; D055815:Young Adult