Wyss, Thomas; Mäder, Urs (2010). Recognition of Military-Specific Physical Activities With Body-Fixed Sensors Military Medicine, 175(11), pp. 858-864. Oxford University Press 10.7205/milmed-d-10-00023
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Leistungssport Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Lehre und Sportpädagogik > Monitoring |
Name: |
Wyss, Thomas and Mäder, Urs |
ISSN: |
0026-4075 (Print) 1930-613X (Online) |
Publisher: |
Oxford University Press |
Language: |
English |
Submitter: |
Service Account |
Date Deposited: |
08 Mar 2021 14:29 |
Last Modified: |
02 Oct 2021 02:18 |
Publisher DOI: |
10.7205/milmed-d-10-00023 |
PubMed ID: |
21121495 |
Uncontrolled Keywords: |
Adult Algorithms Decision trees Humans Male Military personnel Monitoring Predictive value of tests Reproducibility of results Switzerland Work capacity evaluation |
ARBOR DOI: |
10.24451/arbor.11035 |
URI: |
https://arbor.bfh.ch/id/eprint/11035 |