Europe Union

EU-TRAINS

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

Project Goal

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: 

DAC.digital Role

As the Work Package 5 leader DAC.digital is responsible for main objectives, such as:

  • Design and develop project-wide and use-case specific software layer
  • Taking advantage of existing sport monitoring and healthcare platforms
  • Coordinate efforts on software development for activity monitoring, device management
  • Ensure seamless integration of edge and cloud
  • Enable efficient communication
  • Include IoT devices
  • Bring AI on various layers
  • Cloud-deployed AI services
  • Seamless AI optimization methodology for edge deploymentPlatform and highly automated MLOps framework. Apart from that, DAC.digital acts as the County Coordinator and Work Package 8 leader, being also a member of the project’s Steering Committee.

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Key Information

Funding

European Health and Digital Executive Agency under Grant Agreement No. 101130495

Duration

36 months

TRL

Depending on task

SDG / Area / Technology

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.

Outcomes

Textile-integrated electronic systems for real-time monitoring of heart, respiratory, and movement parameters in 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 allow the capturing of bio-chemical parameters able to withstand harsh ambient conditions such as salt, fogs, chlorine, detergents, high and low temperatures, etc.

DAC.digital Role

Technological partner

Background

By means of smart-phones and smart-watches nowadays several online applications and services are giving an affordable and almost ubiquitous access to fitness training and semi-professional sport guidance as well as to e-health services for people. Recently, evolved AI-based cloud services appeared on many app-stores supporting meaningful and effective training scheduling for many popular sports including running, cycling, functional training, bodybuilding, CrossFit, or yoga.

With advancements in technologies for movement monitoring and 3D image processing/analysis, also skiing, calisthenics, and swimming more and more are becoming accessible for remote training through online platforms. The enabling technologies are smart body sensors which can monitor vital parameters such as heartbeat, muscular strain, respiration, but also energy expenditure, blood pressure, oxygenation, position, velocity, force, accelerations and in general biomechanical parameters for the full body and/or the single limbs in real-time. Wearable devices are a good solution to the addressed application needs.

In principle, wearables mainly consist of three groups of units, namely, one or more sensors that measure (electro) physiological signals, a data communication unit, and a data acquisition/analysis unit1. They are primarily employed for logging parameters like heart rate, burned calories or steps taken per day and are becoming increasingly popular due to the raising interest and awareness for a healthier lifestyle.

E-textiles with electronic properties have gradually appeared and have been developed towards flexibility and miniaturization. Flexible electronics in forms of fibres and textiles are one of the ideal forms of wearables due to their advantages of good flexibility, light weight, breathability, and easiness of integration with traditional clothing. Artificial Intelligence and local (on-the-edge) machine learning are the key technology for improved performances of the microsystems.

Answering to these needs, EU-TRAINS has formed a well-balanced pan-European consortium of industrial partners, SME, RTOs, and Universities, to leverage from the known European strength in the semiconductor design and fabrication and tackle the weakness of the higher levels of the supply chain: Integrated system and usercentric cloud-edge services.

Importance

To address the identified challenges technological R&I is needed in smart sensing technology i.e. in local data analysis and interpretation, because each human being is different. The acquisition of reliable body parameters needs data fusion of different sources of information, which is a task that is neither easily managed with conventional modeling techniques, nor with big data approaches, which are both demanding in terms of communication bandwidth usage, computational workload and energy. Artificial Intelligence on the edge (Edge AI) and tiny machine learning (TinyML) 6 techniques applied on board of the single sensors or on clusters of them will be implemented in EU-TRAINS to solve the identified technological challenge, ensuring adaptation to the different requirements and to the  different individualities.

EU-TRAINS will design sensors and integrate them smartly and non-invasively in textiles and other wearable devices (smart watches and other body devices) in a way that they can endure harsh environments, like sweat, or detergents, as well as mechanical stresses, e.g., stretching and material fatigue. The underlying electronic design will ensure effective real-time data transmission and processing in most relevant ambient conditions, all in a very low cost for both fabrication and disposing. Advanced semiconductor fabrication/packaging technologies as well as electronic printing techniques for textile micro-circuit fabrication enhanced by nano-plasma processes for tailoring the thread properties to fulfil skin compatibility, wearing comfort and robustness will be elaborated to solve the issues and make them reproducible and fabricable at low cost. For this, further R&I is needed together with the involvement of end-users from the very first stages of technological development to ensure timely the highest level of acceptance and larger market opportunities.

DAC.digital’s Project Contribution:

DAC will develop new edge-optimized multi-modal models to be used with the sensors developed in the project. Additionally, DAC will focus on the firmware part ensuring efficient inference on the edge.

 

Tech Stack

Machine Learning
Data Science
DevOps
Computer Vision
Custom Software Development
MLOps

Partner

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.
Total budget

7.897.415,86 EUR

Total budget for DAC.digital S.A.

550.000,00 EUR

EU contribution for DAC.digital S.A.

550.000,00 EUR

Implementation period

01.06.2024 – 31.05.2027

About the project

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