Research on AI and IoT-Driven Monitoring in Military Physical Fitness Training

The integration of artificial intelligence (AI) and the Internet of Things (IoT) into wearable technologies has revolutionized military physical fitness training. This research highlights the development and application of wearable electrochemical sensors for non-invasive monitoring of physiological parameters, such as glucose, lactate, and electrolyte levels, in sweat. These devices provide real-time data, enhancing the scientific evaluation of training performance and offering guidance for recovery. By leveraging AI for data analysis and IoT for remote transmission, the sensors enable personalized and team-based training optimization. Despite significant progress, challenges such as sensor durability and environmental adaptability remain, requiring further exploration. This study provides insights into the potential of AI- and IoT-driven wearable technologies in enhancing military training efficiency and outcomes.

Authors

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icftic64248.2024.10912941
Citations
1
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.68
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article

Research on AI and IoT-Driven Monitoring in Military Physical Fitness Training

Hairong Lai, Sun Lin, Jing Jie
1 citations
E-commerce and Technology Innovations
0.68
article

Research on AI and IoT-Driven Monitoring in Military Physical Fitness Training

Hairong Lai, Sun Lin, Jing Jie
article en
1 citations

Abstract

The integration of artificial intelligence (AI) and the Internet of Things (IoT) into wearable technologies has revolutionized military physical fitness training. This research highlights the development and application of wearable electrochemical sensors for non-invasive monitoring of physiological parameters, such as glucose, lactate, and electrolyte levels, in sweat. These devices provide real-time data, enhancing the scientific evaluation of training performance and offering guidance for recovery. By leveraging AI for data analysis and IoT for remote transmission, the sensors enable personalized and team-based training optimization. Despite significant progress, challenges such as sensor durability and environmental adaptability remain, requiring further exploration. This study provides insights into the potential of AI- and IoT-driven wearable technologies in enhancing military training efficiency and outcomes.

Openalex Percentile: Top 20%
E-commerce and Technology Innovations
0.68
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Research on AI and IoT-Driven Monitoring in Military Physical Fitness Training — Hairong Lai, Sun Lin, et al. · (2024) | TGRS Research Map | TGRS