Validity of Activity Monitor Step Detection Is Related to Movement Patterns
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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The StepWatch is accurate for housework activities like dusting, filing, and cleaning.
“In addition, Hickey et al. [26] have shown that this device is even accurate for housework activities like dusting, filing, and cleaning.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [26]
The StepWatch undercounts steps in running when programmed with default settings.
“In addition, the StepWatch undercounts steps in running, when programmed with the default settings [26].”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [26]
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Step Counting: A Review of Measurement Considerations and Health-Related Applications
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Paluch, A. E., Gabriel, K. P., Fulton, J. E., Lewis, C. E., Schreiner, P. J., Sternfeld, B., Sidney, S., Siddique, J., Whitaker, K. M., & Carnethon, M. R. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.24516 · Cited by 175 · see citing works
Video-Recorded Validation of Wearable Step Counters under Free-living Conditions
TOTH, L. P., PARK, S., SPRINGER, C. M., FEYERABEND, M. D., STEEVES, J. A., & BASSETT, D. R. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001569 · Cited by 154 · see citing works
Validity and Reliability Evaluation of Four Commercial Activity Trackers' Step Counting Performance
Tophøj, K. H., Petersen, M. G., Sæbye, C., Baad-Hansen, T., & Wagner, S. (2018) · Telemedicine and e-Health · doi:10.1089/tmj.2017.0264 · Cited by 18 · see citing works
- 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
- Publisher
- Human Kinetics
- 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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