Loading…
Instrumented measurement analysis system for soldiers’ load carriage movement using 3-D kinematics and spatio-temporal features
[Display omitted] •Critical joints affected most significantly during load carriage are identified.•Formation of a knowledge base using kinematic patterns for soldiers is proven.•Benchmarking loaded March performance is done using 3-D kinematic measurements. A comprehensive measurement analysis of s...
Saved in:
Published in: | Measurement : journal of the International Measurement Confederation 2017-01, Vol.95, p.230-238 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
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!
|
Summary: | [Display omitted]
•Critical joints affected most significantly during load carriage are identified.•Formation of a knowledge base using kinematic patterns for soldiers is proven.•Benchmarking loaded March performance is done using 3-D kinematic measurements.
A comprehensive measurement analysis of soldiers’ gait and motion during prolonged loaded March is vital in order to analyse the consistency of soldiers’ performance during combat and training. Prolonged loaded March has been reported to cause fatigue and overuse injuries to the trunk and lower extremity, thus inhibiting soldiers to attain their optimal performance. A motion capture system, considered as the reference standard in motion analysis, is used in a controlled environment for this research. Data were collected from 10 healthy male soldiers (26.3±5.8yearsold), performing load March on treadmill at 6.4km/h (1% elevation) while carrying 15kg loaded military backpack for 30min. The study was able to address the complete 3-dimensional measurement analysis of soldiers’ gait (kinematics and spatio-temporal data), heart rate and their perceived exertion. Different kinematic features such as angular changes and range of motion in critical joints; ankle, knee, hip, pelvis and trunk, integrated with the spatio-temporal features; physiological data such as heart rate (HR) and subjective responses such as rating of perceived exertion (RPE) at critically important gait events were examined. The results prove significant changes (p |
---|---|
ISSN: | 0263-2241 1873-412X |
DOI: | 10.1016/j.measurement.2016.10.017 |