Assessing a novel way to measure step count while walking using a custom mobile phone application

Christopher P Hurt, Donald H Lein, Christian R Smith, Jeffrey R Curtis, Andrew O Westfall, Jonathan Cortis, Clayton Rice and James H Willig

PLOS ONE, 2018, vol. 13, issue 11, 1-11

Abstract: Introduction: Walking speed has been associated with many clinical outcomes (e.g., frailty, mortality, joint replacement need, etc.). Accurately measuring walking speed (stride length x step count/time) typically requires significant clinician/staff time or a gait lab with specialized equipment (i.e., electronic timers or motion capture). In the present study, our goal was to measure “step count” via smartphones through novel software and to compare with step tracking software that come standard with iOS and Android smartphones as a first step in walking speed measurement. Methods: A separate calibration and validation data collection was performed. Individuals in the calibration collection (n = 5) walked 20m at normal and slow speed (

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0206828

DOI: 10.1371/journal.pone.0206828

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