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  4. Recognition of Military-Specific Physical Activities With Body-Fixed Sensors
 

Recognition of Military-Specific Physical Activities With Body-Fixed Sensors

URI
https://arbor.bfh.ch/handle/arbor/31319
Version
Published
Date Issued
2010
Author(s)
Wyss, Thomas  
Mäder, Urs  
Type
Article
Language
English
Subjects

Adult Algorithms Deci...

Abstract
The purpose of this study was to develop and validate an algorithm for recognizing military-specific, physically demanding activities using body-fixed sensors. To develop the algorithm, the first group of study participants (n = 15) wore body-fixed sensors capable of measuring acceleration, step frequency, and heart rate while completing six military-specific activities: walking, marching with backpack, lifting and lowering loads, lifting and carrying loads, digging, and running. The accuracy of the algorithm was tested in these isolated activities in a laboratory setting (n = 18) and in the context of daily military training routine (n = 24). The overall recognition rates during isolated activities and during daily military routine activities were 87.5% and 85.5%, respectively. We conclude that the algorithm adequately recognized six military-specific physical activities based on sensor data alone both in a laboratory setting and in the military training environment. By recognizing type of physical activities this objective method provides additional information on military-job descriptions.
DOI
10.24451/arbor.11035
https://doi.org/10.24451/arbor.11035
Publisher DOI
10.7205/milmed-d-10-00023
Journal or Serie
Military Medicine
ISSN
0026-4075 (Print) 1930-613X (Online)
Publisher URL
https://academic.oup.com/milmed/article/175/11/858/4344732
Organization
EHSM - Leistungssport  
Monitoring  
Volume
175
Issue
11
Publisher
Oxford University Press
Submitter
ServiceAccount
Citation apa
Wyss, T., & Mäder, U. (2010). Recognition of Military-Specific Physical Activities With Body-Fixed Sensors. In Military Medicine (Vol. 175, Issue 11, pp. 858–864). Oxford University Press. https://doi.org/10.24451/arbor.11035
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