Towards an Ecosystem of User-centric devices and services for multisport Training and Remote healthcare enabled by an Artificial Intelligence-based Network of Sensors

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.