Project Proposal

HORIZON-CL4-2023-RESILIENCE-01-33: Smart sensors for the Electronic Appliances
market (RIA)

Tampere University team is offering kinetic energy harvesting expertise for developing autonomous wearable sensors. Experience in modeling, rapid prototyping, laboratory and field trials. Specifically for this call we can develop kinetic energy harvesters for enabling autonomous smart biosensors and in this way making the technology more sustainable and durable. We can also act as a coordinator.

More about the call:
The Commission estimates that an EU contribution of between EUR 6.00 and 8.00 million would allow these outcomes to be addressed appropriately. Nonetheless, this does not preclude submission and selection of a proposal requesting different amounts. Indicative budget The total indicative budget for the topic is EUR 32.00 million.

Projects are expected to contribute to the following outcomes:
The Innovation market for Electronics Appliances is very broad and fast developing with a range to monitor human and environmental factors, which require to develop materials for a new generation of fast and smart sensors devices.
• Smart sensor technology can support self-monitoring in fitness and well-being, decentral personal health monitoring, environmental monitoring, as well as cooling and thermal distribution and supply chain management.
• Sensor devices must be small, and durable to deploy at various locations and withstand the ambient conditions of the targeted application.
• Advanced materials are needed to allow the capturing of chemical and bio-chemical
signals with extended lifetime or extreme low cost for disposable sensors.
• Smart concepts and tools for evolving data analysis that embed a deep understanding of the sensor properties enable new business models for distributed, connected sensors.

Scope: Proposals should address at least four of the following activities:

Biosensors and chemical sensors can be applied to detect and monitor analytes or
pathogens in the environment, health, and food industries in an efficient and timely
manner. Fast scanning and sensor-based devices that can be deployed at a large scale could augment or replace traditional methods of measurement and quality control.
• Advanced biological or biomimetic sensing elements for the measurement of biomarkers allow for new compact analytical devices or be integrated in personal devices such as smart phones, smart watches, and body sensors.
• New sensor materials with properties such as stretchability, self-healing and self-cleaning for the use in wearable electronics and smart textiles enable next-generation devices for the health and sports sector.
• To enable a fast development of new advanced materials, digital tools such as modelling, simulation and characterisation techniques (including those provided by analytical infrastructures) are under the scope, assisted by advanced methods e.g. physics-based methods, machine learning or artificial intelligence.
• Connected smart sensors allow for new data analysis concepts. Algorithms may be adapted throughout the lifetime of the deployed devices, improving their functionality through data-fusion with additional data sources, adaptation to new requirements or enabling of big-data scenarios.
• Digitalisation technologies for PoC (Point-of-Care), PoN (Point-of-Need), home, and in-
vivo/in-vitro diagnostics (e.g. sensors, sensor-arrays, sustainable system integration incl. microfluidics; machine learning approaches).