Cited by 159Physical Activity and HealthContext-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Evaluation of Activity Monitors in Controlled and Free-Living Environments

FEITO, YURI, BASSETT, DAVID R., THOMPSON, DIXIE L.·2012·Medicine & Science in Sports & Exercise

Abstract

UNLABELLED: Numerous studies have established the usefulness of pedometers and accelerometers as objective activity monitors. Under laboratory conditions, some of these devices have been shown to provide accurate and reliable measures of steps. However, limited data exist on the performance of these devices under free-living conditions. PURPOSE: This study aimed 1) to compare the effects of speed and body mass index (BMI) on the step count accuracy of five different accelerometer-based activity monitors and a pedometer during treadmill walking, 2) to compare the performance of these devices in a free-living environment, and 3) to compare the step counts of three generations of a single device (ActiGraph) against a criterion method. METHODS: Fifty-six individuals wore six activity monitors while performing treadmill walking (40, 54, 67, 80, and 94 m·min⁻¹) and during 1 d of free-living activity. The criterion measure of steps during treadmill walking was investigator-determined steps, whereas the criterion measure of steps during the free-living condition was the StepWatch. RESULTS: BMI had no effect on step count accuracy during treadmill walking. The StepWatch, activPAL™, and the AG7164 were the most accurate across all speeds, whereas the remaining devices were only accurate at 67 m·min⁻¹ and faster. In the free-living environment, the AG7164 recorded 99.5% ± 27% (mean ± SD) of StepWatch-determined steps. CONCLUSIONS: We demonstrated that BMI does not affect the step output of commonly used activity monitors during walking. In addition, 67 m·min⁻¹ seems to be the minimum speed required for accurate step counting, at least for most waist-mounted activity monitors. Finally, the StepWatch, AG7164, and activPAL™ were the most accurate devices on the TM, but only the AG7164 yielded comparable step counts to the StepWatch in the free-living environment.

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Crossref · 10.1249/mss.0b013e3182351913

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  • ActiGraph 7164 step counts are quite similar, on average, to those obtained with the ankle-worn StepWatch, which is often regarded as a suitable criterion for step counting.

    “However, the ActiGraph 7164 step counts are quite similar, on average, to those obtained with the ankle-worn StepWatch which is often regarded as a suitable criterion for step counting [58].”

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References 42 · Cited by 159

Authors
FEITO, Y., BASSETT, D. R., & THOMPSON, D. L.
Affiliations
Barry University (US)
Venue
Medicine & Science in Sports & Exercise
Published
2012-04
Volume
44
Issue
4
Pages
733-741
ISSN
0195-9131 (ISSN-L)
OpenAlex
W1996175347
Cited by
159
References
42
Citations by year
2026: 5 · 2025: 6 · 2024: 10 · 2023: 7 · 2022: 17 · 2021: 14 · 2020: 11 · 2019: 5 · 2018: 14 · 2017: 13 · 2016: 15 · 2015: 8 · 2014: 12 · 2013: 17 · 2012: 5
FWCI
7.41
Type
journal article
Language
en
Open access
closed
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
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 › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
Keywords
wearable activity trackers, accelerometer, pedometers, step count accuracy, free-living physical activity, treadmill walking, walking speed, body mass index, activPAL, physical activity measurement
MeSH terms
Adolescent, Exercise Test, Female, Humans, Male, Motor Activity, Body Mass Index, Walking, Ergometry, Monitoring, Ambulatory, Young Adult

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