| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 6 | |
| Section | Intelligent Computing in Healthcare and Bioinformatics | |
| DOI | https://doi.org/10.1051/itmconf/20268401023 | |
| Published online | 06 April 2026 | |
Application of AI-Based Wearables Health Monitoring in Emergency Response Jewellery Design
London College of Fashion, University of Art in London, E20 1GS Stratford One 1 International Way, United Kingdom
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In recent years, people have increasingly emphasized the application of wearable health monitoring devices in daily life, with particular attention being paid to areas related to emergency response and personal safety. To jewellery design professionals, integrating smart sensing technology with the presentation form of wearable devices provides a new direction for expanding the functions of accessories beyond mere decorative purposes. This paper mainly focuses on using Artificial Intelligence (AI) to enhance wearable devices, in order to support the ability to conduct real-time health monitoring and issue emergency alerts. Specifically, the paper is focused on the application of AI in wearable health monitoring systems and mainly outlines the mainstream technologies related to emergency response, including the use of AI for physiological signal analysis, intelligent sensing systems based on machine learning, as well as material design and interaction research. Then this article discusses how these technologies can be applied to small accessories such as jewellery designs and analysed their feasibility, including accuracy, comfort, and ethical issues, in emergency response jewellery designs, as well as the advantages and disadvantages of current technologies in data collection, model building, and system integration. Finally, this paper summarizes and outlines the future development directions in the fields of intelligent materials, multimodal perception, and interdisciplinary collaboration for personalized human-computer interaction design.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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