Cited by 71Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Validity of Activity Monitor Step Detection Is Related to Movement Patterns

Hickey, Amanda, John, Dinesh, Sasaki, Jeffer E., Mavilia, Marianna, Freedson, Patty·2016·Journal of Physical Activity and Health

Abstract

Background: There is a need to examine step-counting accuracy of activity monitors during different types of movements. The purpose of this study was to compare activity monitor and manually counted steps during treadmill and simulated free-living activities and to compare the activity monitor steps to the StepWatch (SW) in a natural setting. Methods: Fifteen participants performed laboratory-based treadmill (2.4, 4.8, 7.2 and 9.7 km/h) and simulated free-living activities (eg, cleaning room) while wearing an activ PAL, Omron HJ720-ITC, Yamax Digi-Walker SW-200, 2 ActiGraph GT3Xs (1 in “low-frequency extension” [AGLFE] and 1 in “normal-frequency” mode), an ActiGraph 7164, and a SW. Participants also wore monitors for 1-day in their free-living environment. Linear mixed models identified differences between activity monitor steps and the criterion in the laboratory/free-living settings. Results: Most monitors performed poorly during treadmill walking at 2.4 km/h. Cleaning a room had the largest errors of all simulated free-living activities. The accuracy was highest for forward/rhythmic movements for all monitors. In the free-living environment, the AGLFE had the largest discrepancy with the SW. Conclusion: This study highlights the need to verify step-counting accuracy of activity monitors with activities that include different movement types/directions. This is important to understand the origin of errors in step-counting during free-living conditions.

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Crossref · 10.1123/jpah.2015-0203

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Authors
Hickey, A., John, D., Sasaki, J. E., Mavilia, M., & Freedson, P.
Affiliations
University of Massachusetts Amherst (US)
Venue
Journal of Physical Activity and Health
Published
2016-02
Volume
13
Issue
2
Pages
145-153
ISSN
  • 1543-3080 (ISSN-L)
  • 1543-5474
OpenAlex
W2326667759
Cited by
71
References
0
Citations by year
2026: 3 · 2025: 2 · 2024: 7 · 2023: 4 · 2022: 10 · 2021: 8 · 2020: 14 · 2019: 8 · 2018: 7 · 2017: 3 · 2016: 5
FWCI
3.68
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Physical Activity and Health (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (RC1HL099557)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
wearable activity trackers, step count accuracy, step detection, movement patterns, treadmill walking, ActiGraph, activPAL, physical activity measurement validity
MeSH terms
Environment, Exercise Test, Female, Humans, Male, Social Conditions, Reproducibility of Results, Walking, Monitoring, Ambulatory, Actigraphy

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