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Updated: Jun 4, 2026

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Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
Published on: February 21, 2025
A comprehensive evaluation of motion sensor step-counting error
Mark G Abel1, Nicole Peritore, Robert Shapiro
1Department of Kinesiology and Health Promotion, University of Kentucky, 217 Seaton Building, Lexington, KY 40506-0219, USA. mark.abel@uky.edu
Summary
Motion sensor step-counting accuracy improves with faster walking speeds and anterior placement. The New Lifestyles (NL) and ActiGraph (AG) sensors were most accurate, unaffected by gender or leg length.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Human Movement Analysis
Background:
- Wearable motion sensors are widely used for step counting in health and fitness.
- Accuracy of these devices can be influenced by various factors, necessitating comprehensive evaluation.
Purpose of the Study:
- To evaluate the impact of walking speed, gender, leg length, sensor tilt angle, brand, and placement on step-counting error.
- To identify the most accurate motion sensors and optimal placement for reliable step counting.
Main Methods:
- Fifty-nine participants completed treadmill walking trials at six different speeds.
- Five motion sensor brands (Digiwalker, Walk4Life, New Lifestyles, Omron, ActiGraph) were tested.
- Sensors were placed on anterior, midaxillary, and posterior waistline locations.
Main Results:
- The New Lifestyles (NL) and ActiGraph (AG) sensors demonstrated the highest accuracy when placed anteriorly and midaxillary, respectively.
- Step-counting error decreased with increased walking speed, reduced tilt angle, and anterior waistline placement.
- Gender and leg length did not significantly affect step-counting error.
Conclusions:
- The NL and AG motion sensors provide the most accurate step counts across various walking speeds and diverse physical characteristics.
- Optimal sensor placement (anterior) and faster walking speeds are recommended for enhanced step-counting reliability.

