title: Accuracy of three Android-based pedometer applications in laboratory and free-living settings.
abstract: This study examines the accuracy of three popular, free Android-based pedometer applications (apps), namely, Runtastic (RT), Pacer Works (PW), and Tayutau (TY) in laboratory and free-living settings. Forty-eight adults (22.5 ± 1.4 years) completed 3-min bouts of treadmill walking at five incremental speeds while carrying a test smartphone installed with the three apps. Experiment was repeated thrice, with the smartphone placed either in the pants pockets, at waist level, or secured to the left arm by an armband. The actual step count was manually counted by a tally counter. In the free-living setting, each of the 44 participants (21.9 ± 1.6 years) carried a smartphone with installed apps and a reference pedometer (Yamax Digi-Walker CW700) for 7 consecutive days. Results showed that TY produced the lowest mean absolute percent error (APE 6.7%) and was the only app with acceptable accuracy in counting steps in a laboratory setting. RT consistently underestimated steps with APE of 16.8% in the laboratory. PW significantly underestimated steps when the smartphone was secured to the arm, but overestimated under other conditions (APE 19.7%). TY was the most accurate app in counting steps in a laboratory setting with the lowest APE of 6.7%. In the free-living setting, the APE relative to the reference pedometer was 16.6%, 18.0%, and 16.8% for RT, PW, and TY, respectively. None of the three apps counted steps accurately in the free-living setting.
authors.affiliation: a Nutritional Science Program, School of Healthcare Sciences, Faculty of Health Sciences , Universiti Kebangsaan Malaysia , Kuala Lumpur , Malaysia.
authors.forename: Jia Yan
authors.initials: JY
authors.lastname: Leong
authors.affiliation: a Nutritional Science Program, School of Healthcare Sciences, Faculty of Health Sciences , Universiti Kebangsaan Malaysia , Kuala Lumpur , Malaysia.
authors.forename: Jyh Eiin
authors.initials: JE
authors.lastname: Wong
mesh_terms: D056044:Actigraphy / Q000295:instrumentation / Q000379:methods*; D000328:Adult; D005080:Exercise Test; D005260:Female; D006801:Humans; D008297:Male; D063731:Mobile Applications / Q000592:standards*; D018670:Monitoring, Ambulatory; D015203:Reproducibility of Results; D000068997:Smartphone; D016138:Walking; D055815:Young Adult
keywords: Android applications; Pedometer; counting steps; physical activity