mlsanityData to 7 Oct 2026

The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring

arXiv 2602.08080 ↗First posted 8 Feb 2026cs.ET cs.DC cs.LGcited by 0

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Abstract (arXiv)

The European Defence Agency's revised Capability Development Plan (CDP) identifies as a priority improving ground combat capabilities by enhancing soldiers' equipment for better protection. The CAPSARII project proposes in innovative wearable system and Internet of Battlefield Things (IoBT) framework to monitor soldiers' physiological and psychological status, aiding tactical decisions and medical support. The CAPSARII system will enhance situational awareness and operational effectiveness by monitoring physiological, movement and environmental parameters, providing real-time tactical decision support through AI models deployed on edge nodes and enable data analysis and comparative studies via cloud-based analytics. CAPSARII also aims at improving usability through smart textile integration, longer battery life, reducing energy consumption through software and hardware optimizations, and address security concerns with efficient encryption and strong authentication methods. This innovative approach aims to transform military operations by providing a robust, data-driven decision support tool.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 39 references that are in the map. First posted on arXiv 8 Feb 2026.

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References · 7

  1. 2015Distilling the Knowledge in a Neural Networkcited by 10,076
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  4. 2017Soft Weight-Sharing for Neural Network Compressioncited by 99
  5. 2022On the Design of Communication-Efficient Federated Learning for Health Monitoringcited by 6
  6. 2021A Survey on RISC-V Security: Hardware and Architecturecited by 2
  7. 2023Elastically-Constrained Meta-Learner for Federated Learningcited by 1

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