Project description
Sensors to advance fitness and healthcare
Real-time monitoring of biomechanics and cardiovascular health is crucial for advancing fitness and healthcare, yet the supply chain for high-quality sensors remains fragmented. Existing technologies often lack the precision and durability needed for comprehensive monitoring, particularly in challenging environments. There is a growing demand for integrated, intelligent systems that can seamlessly operate both on land and underwater. Also, the cost of these advanced solutions is prohibitive for widespread use, limiting their benefits to a small segment of the population. The EU-TRAINS project aims to address these issues by establishing a fully European supply chain for advanced sensors. It focuses on developing smart textiles and miniaturised devices with AI-driven edge-cloud data processing. This initiative promises versatile, durable, and affordable solutions.
Objective
EU-TRAINS aims to reinforce the supply chain on sensors for biomechanics and cardiovascular system real-time monitoring targeting applications in the fields of fitness and healthcare. It leverages from the strength of EU digital microsystem and design to support a 100% made-in-Europe supply chain of solutions which encompass smart-textile integration as well as advanced AI-based edge-cloud data processing.
In details the following outcomes are foreseen:
- Textile integrated electronic systems for real-time monitoring of hearth, respiratory and movement parameters on-the-air and in-water through an interdisciplinary approach;
- Semiconductor technologies which allow the re-use of micro-nano systems both in the sports and in the healthcare sectors;
- Miniaturized devices allowing the capturing of bio-chemical parameters able to withstand harsh ambient conditions such as salt fogs, chlorine, detergents, high and low temperatures, etc.
The following key activities are targeted:
- Development, prototyping and demonstration of versatile sensors with edge AI features for improved precision and reliability, that can also be integrated in textiles as well as in smart wearable wrist-watches and in sport equipment and gears targeting also underwater applications;
- Cloud-edge Artificial Intelligence combined approaches for reliable diagnosis of body parameters. This will comprise sensor’s self-learning, remote update, multi-sensing approaches based on sensor arrays;
- Novel materials that support electronics printing in textiles with stretchability and self-healing capabilities.
Societal benefits are foreseen in the transition to a healthier lifestyle by promoting regular physical activity through affordable tools and services for a large audience, including people with disabilities. Moreover, this will impact the smart/remote-healthcare sector which will benefit of the availability of low-cost microfabricated solutions for intelligent, versatile, connected body sensors.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologymaterials engineeringtextiles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesdata sciencedata processing
- engineering and technologymedical engineeringwearable medical technology
Keywords
Programme(s)
Topic(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
8010 Graz
Austria