JOURNAL ARTICLE

Step detection using multi- versus single tri-axial accelerometer-based systems

Emma FortuneVipul LugadeSarah AminKenton R. Kaufman

Year: 2015 Journal:   Physiological Measurement Vol: 36 (12)Pages: 2519-2535   Publisher: IOP Publishing

Abstract

Multiple sensors are often considered necessary for increased step count accuracy. However, subject adherence to device-wear increases using a minimal number of activity monitors (AMs). The study aims were to determine and compare the validity of using multiple AMs versus a single AM to detect steps by comparison to video using a modification of an algorithm previously developed for a four-accelerometer AM system capable, unlike other algorithms, of accurate step detection for gait velocities as low as 0.1 m s(-1). Twelve healthy adults wore ankle, thigh and waist AMs while performing walking/jogging trials at gait velocities from 0.1-4.8 m s(-1) and a simulated free-living dynamic activities protocol. Nineteen older adults wore ankle and waist AMs while walking at velocities from 0.5-2.0 m s(-1). As little as one AM (thigh or waist) accurately detected steps for velocities >0.5 m s(-1). A single ankle AM accurately detected steps for velocities ⩾0.1 m s(-1). Only the thigh AM could not accurately detect steps during the dynamic activities. Only the thigh-ankle combination or single waist AM could accurately distinguish between walking and jogging steps. These laboratory-based results suggest that the presented algorithm can accurately detect steps in a free-living environment using only one ankle or waist AM.

Keywords:
Ankle Waist Accelerometer Gait Thigh Physical medicine and rehabilitation Computer science Simulation Medicine Surgery

Metrics

30
Cited By
7.89
FWCI (Field Weighted Citation Impact)
53
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Balance, Gait, and Falls Prevention
Health Sciences →  Health Professions →  Physical Therapy, Sports Therapy and Rehabilitation
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Physical Activity and Health
Health Sciences →  Medicine →  Physiology
© 2026 ScienceGate Book Chapters — All rights reserved.