@inproceedings{01HRXXPCV3MW6V8MQPSVK25Z4Q,
  abstract     = {{The overall well-being of the military personnel has been put forward as one of the main focus points in the strategic agenda of the Ministry of Defence. This overall well-being comprises physical and mental health and is driven by a wide range of factors. It has been shown however, that attrition in recruits, burnout, general fatigue, injuries and diseases are common in military personnel worldwide and as such threaten the efficiency and functioning of the Belgian Armed Forces. However, the timely detection of problematic situations and preventive actions are not easy and a clustered monitoring of the determining factors is currently very complex.

The first link in providing the necessary insights to detect suboptimal function that might put the overall well-being of the military personnel at risk, focuses on the objective and continuous collection of sensor data relating to physical fitness and recovery and mental readiness. The proposed solution is tailored towards complex environments where the applicability must be non invasive to not disrupt daily activities and has to be decoupled from external servers commonly utilized by consumer focussed wearables to ensure confidentiality. As such, military personnel can be monitored 24/7 using a smart watch with GPS capabilities, even during multi-day tactical exercises in the field or during prolonged periods without connectivity. Based on the weekly itinerary, the watch uses different monitoring modes and sampling rates to extend battery life while providing a wide range of (optional) parameters such as heart rate, GPS, movement dynamics, etc. This is linked together with other data sources such as itinerary metadata, test battery results, injuries and more. All measurements are made available in a centralized platform that can be deployed offline or within the secure infrastructure of the Ministry of Defence.}},
  author       = {{Decorte, Robbe and Slembrouck, Maarten and Verstockt, Steven}},
  booktitle    = {{2023 FEA Research Symposium, Abstracts}},
  language     = {{eng}},
  location     = {{Ghent, Belgium}},
  pages        = {{1}},
  publisher    = {{Ghent University-Fears 2023}},
  title        = {{Sensor-based monitoring setups in military environments}},
  year         = {{2023}},
}