Imagine clothes that act like a medical clinic and a pro coach combined. These smart fabrics track your heart, breathing, and even the chemistry of your sweat while you move or swim. An AI brain then processes this data instantly to tell you exactly how your body is performing without needing a bulky machine.
Current wearables are often uncomfortable, lack biochemical data, and fail in aquatic environments. There is also a heavy reliance on non-European supply chains for critical sensor components.
A system of textile-integrated sensors and edge-AI algorithms capable of monitoring heart, respiratory, and biochemical (sweat) parameters in both air and water.
If you are a clothing brand dealing with the lack of integrated health tracking in fabrics — this project developed textile-integrated electronics that monitor heart and movement parameters. This allows you to sell garments that provide real-time performance insights to athletes.
If you are a healthcare provider dealing with the difficulty of monitoring patients at home — this project developed low-cost microfabricated body sensors. This enables continuous, non-invasive tracking of biochemical and cardiovascular data for an ageing society.
If you are a gear manufacturer dealing with the failure of electronics in water — this project developed sensors and communication systems that work in chlorine and salt water. This allows for reliable in-water data transfer between sensors and the cloud.
Based on available project data, specific pricing is not mentioned, but the objective is to provide low-cost microfabricated solutions for the healthcare sector.
The project focuses on creating a resilient made-in-Europe supply chain and utilizes semiconductor technologies to support industrial-scale production of micro-nano systems.
Based on available project data, there are no specific licensing terms listed, but the project involves 8 industrial partners and 6 SMEs who are developing the technology.
The system uses a cloud-edge AI approach, enabling data to flow from wearable sensors to a central edge-AI processor and then to a cloud environment.
The project period runs from 2024-06-01 to 2027-05-31, suggesting the technology will be refined through 2027.
The project is backed by a strong industrial base with 19 partners across 9 countries. With an industry ratio of 42% (including 8 industrial partners and 6 SMEs), the consortium is well-positioned to move research from the lab to the market, balancing academic rigor from 6 universities with commercial viability.
Contact SILICON AUSTRIA LABS GMBH for technical specifications on edge-AI and sensor integration.
Contact us to connect with the EU-TRAINS consortium for licensing opportunities in smart textiles.
