Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Mar 11, 2026

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

1.5K

StepWatch accuracy during walking, running, and intermittent activities.

Lindsay P Toth1, David R Bassett1, Scott E Crouter1

  • 1Department of Kinesiology, Recreation, and Sports Studies, University of Tennessee, Knoxville, TN, United States.

Gait & Posture
|December 4, 2016
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Systematic Assessment of Flavor Cues and Additives in Cigarettes and Heated Tobacco Products in Korea: Cross-Sectional Surveillance Study.

JMIR public health and surveillance·2026
Same author

Repeated device-based measures of daily movement, sedentary behavior, and sleep at 6 months postpartum: the Pregnancy Environment and Lifestyle Study-2 cohort.

Sleep advances : a journal of the Sleep Research Society·2026
Same author

The mediating role of relative harm perception in the association between social media marketing exposure-engagement patterns and e-cigarette use behaviors: A cross-sectional study.

Tobacco induced diseases·2026
Same author

Citizen-Led Integrated Care in Rural Depopulation Areas: Addressing Depression and Frailty in Older Adults.

Annals of geriatric medicine and research·2026
Same author

Impact of skin wetting on body cooling.

Journal of applied physiology (Bethesda, Md. : 1985)·2026
Same author

Firefighters as a Key Alliance Group to Advocate for Tobacco Control Policies in Korea.

Journal of preventive medicine and public health = Yebang Uihakhoe chi·2026

Optimizing StepWatch (SW3) settings improves step count accuracy. Modified settings are best for running and tennis, while default settings suit sedentary individuals.

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Human Movement Analysis

Background:

  • Step counting devices like the StepWatch (SW3) are widely used for activity monitoring.
  • Accuracy of step counts can be influenced by device settings and activity type.
  • Optimizing settings is crucial for reliable data in research and personal health tracking.

Purpose of the Study:

  • To evaluate the impact of cadence and sensitivity settings on StepWatch (SW3) step count accuracy across various ambulatory speeds.
  • To compare the accuracy of preprogrammed 'quick start' settings versus modified settings during diverse intermittent lifestyle activities.

Main Methods:

  • Fifteen participants engaged in treadmill walking and running at ten speeds (26.8-268mmin-1) with four SW3 devices.
Keywords:
Activity monitorLifestyle activitiesPedometerPhysical activitySteps

More Related Videos

Influence of Step-Width Manipulation on Running Biomechanics
06:53

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

1.1K
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.1K

Related Experiment Videos

Last Updated: Mar 11, 2026

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

1.5K
Influence of Step-Width Manipulation on Running Biomechanics
06:53

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

1.1K
A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.1K
  • Cadence and sensitivity settings were systematically varied in controlled trials.
  • Participants also performed intermittent activities and drove a car with both preprogrammed and modified SW3 settings.

    • Main Results:

    • Modified settings (70% cadence, sensitivity 16) achieved 96.0-104% accuracy across speeds from 53.6 to 268mmin-1.
    • Preprogrammed settings showed higher accuracy (88-94%) for light household tasks compared to modified settings (82-86%).
    • Modified settings demonstrated a trend towards greater accuracy (93% vs. 89%) during tennis (p<0.05).

    Conclusions:

    • Default StepWatch (SW3) settings are recommended for individuals not participating in running or vigorous sports.
    • Modified settings can enhance step counting accuracy for users engaged in activities like running and tennis.
    • Personalized setting adjustments are beneficial for optimizing step count data based on activity profiles.