Validity of a trunk-mounted accelerometer to assess peak accelerations during walking, jogging and running

The purpose of this study was to validate peak acceleration data from an accelerometer contained within a wearable tracking device while walking, jogging and running. Thirty-nine participants walked, jogged and ran on a treadmill while 10 peak accelerations per movement were obtained (n = 390). A si...

Full description

Saved in:
Bibliographic Details
Published in:European journal of sport science 2015-07, Vol.15 (5), p.382-390
Main Authors: Wundersitz, Daniel W. T., Gastin, Paul B., Richter, Chris, Robertson, Samuel J., Netto, Kevin J.
Format: Article
Language:English
Subjects:
3D analysis
Acceleration
Accelerometry - instrumentation
Accelerometry - methods
Adult
Female
game analysis
Humans
Jogging - physiology
Male
methodology
Monitoring, Ambulatory - instrumentation
Monitoring, Ambulatory - methods
Reproducibility of Results
Signal Processing, Computer-Assisted
technology
Walking - physiology
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The purpose of this study was to validate peak acceleration data from an accelerometer contained within a wearable tracking device while walking, jogging and running. Thirty-nine participants walked, jogged and ran on a treadmill while 10 peak accelerations per movement were obtained (n = 390). A single triaxial accelerometer measured resultant acceleration during all movements. To provide a criterion measure of acceleration, a 12-camera motion analysis (MA) system tracked the position of a retro-reflective marker affixed to the wearable tracking device. Peak raw acceleration recorded by the accelerometer significantly overestimated peak MA acceleration (P < 0.01). Filtering accelerometer data improved the relationship with the MA system (P < 0.01). However, only the 10 Hz and 8 Hz cut-off frequencies significantly reduced the errors found. The walk movement demonstrated the highest accuracy, agreement and precision and the lowest relative errors. Linear increases in error were observed for jog compared with walk and for run compared to both other movements. As the magnitude of acceleration increased, the strength of the relationship between the accelerometer and the criterion measure decreased. These results indicate that filtered accelerometer data provide an acceptable means of assessing peak accelerations, in particular for walking and jogging.
ISSN:1746-1391
1536-7290
DOI:10.1080/17461391.2014.955131