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Validity of activity trackers, smartphones, and phone applications to measure steps in various walking conditions.
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4482995
Author(s) Höchsmann, C.; Knaier, R.; Eymann, J.; Hintermann, J.; Infanger, D.; Schmidt-Trucksäss, A.
Author(s) at UniBasel Höchsmann, Christoph
Schmidt-Trucksäss, Arno
Year 2018
Title Validity of activity trackers, smartphones, and phone applications to measure steps in various walking conditions.
Journal Scandinavian Journal of Medicine & Science in Sports
Volume 28
Number 7
Pages / Article-Number 1818-1827
Abstract To examine the validity of popular smartphone accelerometer applications and a consumer activity wristband compared to a widely used research accelerometer while assessing the impact of the phone's position on the accuracy of step detection. Twenty volunteers from 2 different age groups (Group A: 18-25 years, n = 10; Group B 45-70 years, n = 10) were equipped with 3 iPhone SE smartphones (placed in pants pocket, shoulder bag, and backpack), 1 Samsung Galaxy S6 Edge (pants pocket), 1 Garmin Vivofit 2 wristband, and 2 ActiGraph wGTX+ devices (worn at wrist and hip) while walking on a treadmill (1.6, 3.2, 4.8, and 6.0 km/h) and completing a walking course. All smartphones included 6 accelerometer applications. Video observation was used as gold standard. Validity was evaluated by comparing each device with the gold standard using mean absolute percentage errors (MAPE). The MAPE of the iPhone SE (all positions) and the Garmin Vivofit was small (<3) for treadmill walking ≥3.2 km/h and for free walking. The Samsung Galaxy and hip-worn ActiGraph showed small MAPE only for treadmill walking at 4.8 and 6.0 km/h and for free walking. The wrist-worn ActiGraph showed high MAPE (17-47) for all walking conditions. The iPhone SE and the Garmin Vivofit 2 are accurate tools for step counting in different age groups and during various walking conditions, even during slow walking. The phone's position does not impact the accuracy of step detection, which substantially improves the versatility for physical activity assessment in clinical and research settings.
Publisher WILEY
ISSN/ISBN 1600-0838
edoc-URL https://edoc.unibas.ch/65124/
Full Text on edoc No
Digital Object Identifier DOI 10.1111/sms.13074
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/29460319
ISI-Number WOS:000435285100009
Document type (ISI) Article
 
   

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