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Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions

1
School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China
2
School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
3
College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang 110142, China
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(12), 2651; https://doi.org/10.3390/s19122651
Received: 10 May 2019 / Revised: 28 May 2019 / Accepted: 10 June 2019 / Published: 12 June 2019
(This article belongs to the Special Issue Applications and Innovations on Sensor-Enabled Wearable Devices)
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Abstract

With the development of the Internet of Battlefield Things (IoBT), soldiers have become key nodes of information collection and resource control on the battlefield. It has become a trend to develop wearable devices with diverse functions for the military. However, although densely deployed wearable sensors provide a platform for comprehensively monitoring the status of soldiers, wearable technology based on multi-source fusion lacks a generalized research system to highlight the advantages of heterogeneous sensor networks and information fusion. Therefore, this paper proposes a multi-level fusion framework (MLFF) based on Body Sensor Networks (BSNs) of soldiers, and describes a model of the deployment of heterogeneous sensor networks. The proposed framework covers multiple types of information at a single node, including behaviors, physiology, emotions, fatigue, environments, and locations, so as to enable Soldier-BSNs to obtain sufficient evidence, decision-making ability, and information resilience under resource constraints. In addition, we systematically discuss the problems and solutions of each unit according to the frame structure to identify research directions for the development of wearable devices for the military. View Full-Text
Keywords: Internet of Battlefield Things; Body Sensor Networks; wearable device; information fusion; sensor Internet of Battlefield Things; Body Sensor Networks; wearable device; information fusion; sensor
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Shi, H.; Zhao, H.; Liu, Y.; Gao, W.; Dou, S.-C. Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions. Sensors 2019, 19, 2651.

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