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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 <jats:italic>vINCI<\/jats:italic>\u2014an interdisciplinary research project to actively support assisted living for older adults via state-of-the-art assistive technologies\u2014which 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 <jats:italic>vINCI<\/jats:italic> 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.<\/jats:p>","DOI":"10.1007\/s12652-021-03419-y","type":"journal-article","created":{"date-parts":[[2021,8,16]],"date-time":"2021-08-16T11:03:15Z","timestamp":1629111795000},"page":"2095-2116","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Clinically-validated technologies for assisted living"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7323-4030","authenticated-orcid":false,"given":"Susanna","family":"Spinsante","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Angelica","family":"Poli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jordi","family":"Mongay Batalla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piotr","family":"Krawiec","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ciprian","family":"Dobre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lidia","family":"B\u01cejenaru","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Constandinos X.","family":"Mavromoustakis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Costas S.","family":"Costantinou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregor","family":"Molan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna Marie","family":"Herghelegiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel Ioan","family":"Prada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rozeta","family":"Dr\u01ceghici","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Horacio","family":"Gonz\u00e1lez\u2013V\u00e9lez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,8,16]]},"reference":[{"issue":"15","key":"3419_CR1","doi-asserted-by":"crossref","first-page":"2688","DOI":"10.1016\/j.comnet.2010.05.003","volume":"54","author":"H Alemdar","year":"2010","unstructured":"Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: a survey. 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