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
- Hairong Lai (ORCID: https://orcid.org/0000-0001-5750-7919)
- Sun Lin
- Jing Jie (ORCID: https://orcid.org/0000-0003-0559-4533)
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