Clinically-validated technologies for assisted living

One of the most important lifestyle risk factors for many chronic conditions in the older age, low physical activity has shown to have significant impact on the sustainability of national welfare in many developed countries. Technology-based assisted living solutions can effectively be used to enabl...

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Veröffentlicht in:Journal of ambient intelligence and humanized computing 2023-03, Vol.14 (3), p.2095-2116
Hauptverfasser: Spinsante, Susanna, Poli, Angelica, Mongay Batalla, Jordi, Krawiec, Piotr, Dobre, Ciprian, Bǎjenaru, Lidia, Mavromoustakis, Constandinos X, Costantinou, Costas S, Molan, Gregor, Herghelegiu, Anna Marie, Prada, Gabriel Ioan, Drǎghici, Rozeta, González–Vélez, Horacio
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container_end_page 2116
container_issue 3
container_start_page 2095
container_title Journal of ambient intelligence and humanized computing
container_volume 14
creator Spinsante, Susanna
Poli, Angelica
Mongay Batalla, Jordi
Krawiec, Piotr
Dobre, Ciprian
Bǎjenaru, Lidia
Mavromoustakis, Constandinos X
Costantinou, Costas S
Molan, Gregor
Herghelegiu, Anna Marie
Prada, Gabriel Ioan
Drǎghici, Rozeta
González–Vélez, Horacio
description One of the most important lifestyle risk factors for many chronic conditions in the older age, low physical activity has shown to have significant impact on the sustainability of national welfare in many developed countries. Technology-based assisted living solutions can effectively be used to enable older adults to optimise their health-related quality of life, as well as to promote an active and healthy longevity. This paper describes vINCI—an interdisciplinary research project to actively support assisted living for older adults via state-of-the-art assistive technologies—which seamlessly deploys an ambient intelligence environment to integrate wearable devices, networking, software, and personalised services. It entails clinical validation and feedback at home and residential care facilities via a cloud microservices platform. Underpinned by blockchain technologies, multiple wearable devices, apps, and cameras securely capture the anonymised facets of different life events, whilst machine learning models create individualised user profiles to analyse any decrease in the perceived health-related quality of life typically associated with old age. Two controlled pilots are being conducted with 80 participants at older adult facilities in Romania and Cyprus. By incorporating clinical validation and feedback from specialised practitioners, the vINCI technologies enable older adults not only to self-evaluate their physical activity level, but also to change their behaviours and lifestyle in the long-term.
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Technology-based assisted living solutions can effectively be used to enable older adults to optimise their health-related quality of life, as well as to promote an active and healthy longevity. This paper describes vINCI—an interdisciplinary research project to actively support assisted living for older adults via state-of-the-art assistive technologies—which seamlessly deploys an ambient intelligence environment to integrate wearable devices, networking, software, and personalised services. It entails clinical validation and feedback at home and residential care facilities via a cloud microservices platform. Underpinned by blockchain technologies, multiple wearable devices, apps, and cameras securely capture the anonymised facets of different life events, whilst machine learning models create individualised user profiles to analyse any decrease in the perceived health-related quality of life typically associated with old age. 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subjects Adults
Age
Aging
Ambient intelligence
Automation
Cardiovascular disease
Chronic conditions
Cryptography
Developed countries
Feedback
Intelligence
Interdisciplinary research
Interdisciplinary studies
Internet of Things
Machine learning
Older people
Quality of life
Research projects
Risk factors
Wearable technology
title Clinically-validated technologies for assisted living
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