Cited by 90Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Accuracy of Wristband Activity Monitors during Ambulation and Activities

CHEN, MING-DE, KUO, CHANG-CHIH, PELLEGRINI, CHRISTINE A., HSU, MIAO-JU·2016·Medicine & Science in Sports & Exercise

Abstract

Purpose The main purpose of this study was to examine the accuracy of wristband activity monitors on measuring step counts at prescribed speeds on a treadmill and under short bouts of common daily activities. Methods Thirty healthy young adults wore three wristband activity monitors on both wrists while walking or jogging on a treadmill at different speeds (54, 80, 107, and 134 m·min) and performing six different common daily activities for 5 min each. The monitors included the Fitbit Flex, the Garmin Vivofit, and the Jawbone UP. The common daily activity conditions included two sitting activities (playing a tablet computer game and folding laundry), two walking activities (pushing a stroller, carrying a bag), and two stair climbing activities (down and up). Absolute percentage error (APE) scores were computed to examine the accuracy between actual observed steps and monitor-detected steps. Results Under the treadmill condition, the APE ranged between 1.5% and 9.6%. Accuracy was improved at faster speeds (134 m·min) for all the monitors (APE 33%) when pushing a stroller. Higher APE was observed when worn on the dominant wrist under the common daily activity conditions. Conclusions The wristband activity monitors examined were more accurate for measuring step counts between 80 and 134 m·min as compared with a slower speed. Accuracy under each common daily activity condition ranged widely between monitors and activity, with less error when worn on the nondominant wrist. These r…

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Crossref · 10.1249/mss.0000000000000984

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  • Wrist step counters do not count steps when the wrist is stationary, such as when pushing a stroller or holding onto treadmill hand rails.

    “Wrist step counters do not count steps when the wrist is stationary. For example, they do not record steps taken when pushing a stroller [28], or holding onto treadmill hand rails.”
  • Wrist-worn step counters record invalid steps when folding laundry or gesturing while talking.

    “Furthermore, wrist-worn step counters record invalid steps when folding laundry [28], or gesturing while talking.”
  • Three wrist devices (Fitbit Flex, Garmin Vivofit, and Jawbone Up) were quite accurate (absolute percent error for steps = 1.5-9.6%) during treadmill walking and running at 54-134 m/min.

    “However, a study by Chen et al. [28] reported that three wrist devices (Fitbit flex, Garmin Vivofit, and Jawbone Up) were quite accurate (absolute percent error for steps = 1.5–9.6%) during treadmill walking and running at 54–134 m/min.”

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Authors
CHEN, M.-D., KUO, C.-C., PELLEGRINI, C. A., & HSU, M.-J.
Affiliations
Northwestern University (US)
Venue
Medicine & Science in Sports & Exercise
Published
2016-10
Volume
48
Issue
10
Pages
1942-1949
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2364933950
Cited by
90
References
1
Citations by year
2026: 4 · 2025: 1 · 2024: 2 · 2023: 8 · 2022: 7 · 2021: 12 · 2020: 13 · 2019: 20 · 2018: 13 · 2017: 6 · 2016: 3
FWCI
11.26
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 › General Health Professions › Mobile Health and mHealth Applications
Keywords
step count accuracy, wearable activity trackers, daily activities, stair climbing
MeSH terms
Activities of Daily Living, Exercise Test, Female, Humans, Jogging, Male, Wrist, Exercise, Walking, Young Adult, Accelerometry

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