
SANSIRRO GMBH
SANSIRRO GMBH
2 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:DAC.DIGITAL JOINT-STOCK COMPANY, ValoTec, SAL, CUBIT, IMEC-NL +13 partnersDAC.DIGITAL JOINT-STOCK COMPANY,ValoTec,SAL,CUBIT,IMEC-NL,NTUU "KPI",LBG,Chemnitz University of Technology,XTREMION TECHNOLOGY FORSCHUNGSGESELLSCHAFT MBH,SIEC BADAWCZA LUKASIEWICZ - INSTYTUT MIKROELEKTRONIKI I FOTONIKI,SANSIRRO GMBH,UniPi,DSHS,ST,STMicroelectronics (Switzerland),MEDTRONIC,TU/e,KUBIOS OYFunder: European Commission Project Code: 101130495Funder Contribution: 7,897,420 EUREU-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.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:Eurotech (Italy), ValoTec, HALTIAN, CIDETE, ULPGC +29 partnersEurotech (Italy),ValoTec,HALTIAN,CIDETE,ULPGC,DSHS,SIEC BADAWCZA LUKASIEWICZ - INSTYTUT MIKROELEKTRONIKI I FOTONIKI,SANSIRRO GMBH,SAL,PONS IP,ThingLink,XTREMION TECHNOLOGY FORSCHUNGSGESELLSCHAFT MBH,THALES,Studio Harmonie,UEF,CUBIT,University of Bari Aldo Moro,PANCO,SMART TEXTILES HUB GMBH,WEARABLE TECHNOLOGIES AG,LBG,ADVANCED SYSTEMS TECHNOLOGIES AND USER SERVICES,Chemnitz University of Technology,ENERGIOT DEVICES SL,University of Paris,MICROSIS SRL,GRAPHENEA SEMICONDUCTOR SL,KOB GmbH,KHYMEIA GROUP,DAC.DIGITAL JOINT-STOCK COMPANY,University of Cagliari,MYONTEC OY,KUBIOS OY,FUNDACION CANARIA DE INVESTIGACION SANITARIAFunder: European Commission Project Code: 101140052Overall Budget: 24,050,500 EURFunder Contribution: 7,276,630 EURH2TRAIN proposal is funded on the sixth edition of the Electronic Components and Systems (ECS) Strategic Research and Innovation Agenda (ECS-SRIA) topics and major challenges for enabling digital technologies in holistic health-lifestyle supported by artificial intelligence (AI) networks. Biosensors for e-health and smart tracking of sport and fitness are a class of devices that is dominating the consumer and professional market with an unprecedented growth. Despite the impressive capabilities of recent approaches, several prospective revolutionary improvements are still open points, mainly in relationship with four factors: sensing new biosignals and tracking new activity patterns; improving battery lifetime and energy management for continuous use; and secure, reliable and efficient data analysis with AI algorithms and connectivity with the IoT. H2TRAIN aims at advancing the state of the art in this respect, taking profit from the remarkable properties and synergistic potential of one-dimensional (1D) and two-dimensional (2D) materials (1DM and 2DM), enabling more sensitive, efficient, and miniaturized biosensing capabilities within the established CMOS technology framework. This will contribute to the growth of e-health services assisted by AI and will fortify the development of Internet of Things (IoT) applications in health & wellbeing and digital society. H2TRAIN not only facilitates digital technology but also involves the development of new 1DM and 2DM-based devices for sensing, energy harvesting and supercapacitor storage. These innovations serve to integrate sport and health activities into IoT applications, making them accessible as wearable technology. H2TRAIN combines mature CMOS technology products for health and sport sensing with embedded intelligence as a cross-sectional technology. This combination offers a broad spectrum of technology demonstrators (TD) based on advanced sensors, such as tattoo sweat, C-reactive protein, cortisol and lactate.
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