my-AHA · Project

Smart Platform That Detects Frailty Risks in Older Adults Before They Escalate

healthPilotedTRL 7

Imagine your elderly parent living alone — you worry about them falling, forgetting things, or becoming isolated. This project built a smart system that uses sensors already in the home (think smart TV, phone, wearables) to quietly track sleep, activity, nutrition, and mental sharpness. When something starts slipping, it steps in with personalized advice: exercise routines, brain games, meal plans, even social prompts. It's like a digital wellness coach that catches problems early, before a hospital visit becomes necessary.

By the numbers

consortium partners across the project

countries represented in consortium

SMEs involved in development and testing

total deliverables produced

industry partners contributing to the platform

The business problem

What needed solving

Elderly frailty — covering cognitive decline, physical weakness, poor nutrition, social isolation, and sleep problems — drives massive healthcare costs and overwhelms care systems. Most interventions happen too late, after a fall, hospitalization, or sharp cognitive drop. Care providers and insurers need early warning systems that catch decline while it can still be reversed, not after it becomes a crisis.

The solution

What was built

The project built an ICT platform with four major piloted components: a Decision Support System (DSS) for frailty risk detection, an AI-powered nutrition monitoring and meal recommendation system delivered via Smart TV and mobile devices, a personal health dashboard for users, and a suite of cognitive games and physical exergames. All reached version 2 prototypes validated in a Main Wave pilot across 10 countries.

Audience

Who needs this

Senior living facility operators managing preventable hospital readmissionsHealth insurers covering large elderly populations with rising frailty-related claimsDigital health companies building smart home monitoring products for aging-in-placeMunicipal or regional health authorities running active aging programsTelehealth providers looking to add frailty prevention modules to their platforms

Business applications

Who can put this to work

Senior Living & Care Homes

enterprise

Target: Operators of assisted living facilities or residential care chains

If you are a senior care operator dealing with rising costs from preventable hospital admissions and staff shortages — this project developed an ICT platform with embedded sensors and a Decision Support System that detects cognitive decline, physical frailty, and social isolation early. The system was tested across 10 countries with 16 consortium partners and delivers personalized interventions including exercise programs, cognitive games, and AI-driven nutrition plans, helping you shift from reactive to preventive care.

Health Insurance & Managed Care

enterprise

Target: Health insurers or HMOs managing elderly populations

If you are a health insurer struggling with escalating claims from frail elderly members — this project built a personal dashboard and AI-based meal recommendation system that monitors nutrition, sleep, cognition, and physical activity through non-intrusive sensors. With 5 SME partners already involved in the consortium and version 2 prototypes validated in pilot waves, the platform enables early risk detection that could reduce costly emergency interventions for your covered population.

Digital Health & Assistive Technology

SME

Target: Companies developing smart home health monitoring products

If you are a digital health company looking to expand into the active aging market — this project produced 18 deliverables including a DSS platform, cognitive games, exergames, and a Smart TV nutrition monitoring prototype with AI-powered meal planning. The system was designed with standardized interfaces for solution providers, meaning your existing products could plug into a validated, multi-domain frailty prevention ecosystem tested across 10 countries.

Frequently asked

Quick answers

What would it cost to license or deploy this platform?

The project data does not include licensing fees or deployment costs. The platform was built under an EU Research and Innovation Action with 16 partners, so licensing terms would need to be negotiated with the coordinating university (UNIVERSITA DEGLI STUDI DI TORINO) and the 5 industry partners involved. Costs would likely depend on deployment scale and which modules you need.

Can this scale to thousands of users across multiple facilities?

The project objective explicitly states the platform was designed to be 'ready for larger scale deployment at project end,' with standardized interfaces for solution providers. The system was tested across 10 countries with diverse partners, suggesting it was architected for multi-site, multi-language scalability from the start.

Who owns the IP, and can I license specific modules?

IP is likely shared among the 16 consortium partners according to their EU grant agreement. The 5 industry partners and 5 SMEs in the consortium may hold commercial exploitation rights to specific components. You would need to contact the coordinator at the University of Turin to clarify which modules (DSS platform, nutrition AI, cognitive games, dashboard) are available for licensing.

Does this comply with health data regulations like GDPR?

The project ran from 2016 to 2020 under EU funding, meaning GDPR compliance would have been required from May 2018 onward. The system uses non-stigmatizing embedded sensors in the home environment, which suggests privacy-by-design was a priority. Specific certification details are not available in the project data.

How long would integration take with our existing care systems?

The project built standardized interfaces specifically to allow solution providers to connect their offerings. The DSS Platform went through at least two iterations (version II is documented), and the personal dashboard and nutrition modules reached version 2 prototypes. Based on available project data, integration complexity would depend on your existing infrastructure, but the modular design was intended to reduce this.

What evidence exists that this actually works with real elderly users?

The deliverables reference a 'Main Wave' deployment phase, with version 2 prototypes of the cognitive games, exergames, personal dashboard, and nutrition system all prepared specifically for this large-scale user test. The AI meal recommendation system accounts for frailty score, culture, religion, and personal preferences — indicating real user feedback was incorporated between versions.

Consortium

Who built it

This is a strong, internationally diverse consortium with 16 partners across 10 countries including non-EU members Japan, South Korea, and Australia — signaling global relevance for the aging market. The mix of 8 universities and 3 research organizations provides scientific credibility, while 5 industry partners (31% ratio) and 5 SMEs bring commercial grounding. The coordinator is the University of Turin, a major Italian research university. The inclusion of Asian partners is notable since Japan and South Korea face some of the world's most severe aging demographics, suggesting the platform was designed with global deployment in mind rather than being limited to European contexts.

UNIVERSITA DEGLI STUDI DI TORINOCoordinator · IT
UNIVERSITAET SIEGENparticipant · DE
INSTITUT FUR EXPERIMENTELLE PSYCHOPHYSIOLOGIE GMBHparticipant · DE
UNIVERSITY OF THE SUNSHINE COASTparticipant · AU
SEOUL NATIONAL UNIVERSITYparticipant · KR
IP HEALTH SOLUTIONS BVparticipant · NL
JOHANNITER OSTERREICH AUSBILDUNG UND FORSCHUNG GEMEINNUTZIGE GMBHparticipant · AT
INSTITUTO DE BIOMECANICA DE VALENCIAparticipant · ES
GESTIO SOCIOSANITARIA AL MEDITERRANI SLparticipant · ES
LOUGHBOROUGH UNIVERSITYparticipant · UK
DEUTSCHE SPORTHOCHSCHULE KOLNparticipant · DE
NATIONAL UNIVERSITY CORPORATION TOHOKU UNIVERSITYparticipant · JP
FONDAZIONE LINKS - LEADING INNOVATION & KNOWLEDGE FOR SOCIETYparticipant · IT
KAASA SOLUTION GMBHparticipant · DE

How to reach the team

The coordinator is UNIVERSITA DEGLI STUDI DI TORINO in Italy. SciTransfer can facilitate a direct introduction to the project team.

Order a report on this consortium See UNIVERSITA DEGLI STUDI DI TORINO profile →

Next steps

Talk to the team behind this work.

Want to explore licensing the my-AHA platform or specific modules for your care facilities? SciTransfer can connect you directly with the development team and help structure the conversation. Contact us for a tailored briefing.

Order a report on this topic More in Health & Biomedical