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Supporting Better Physical Activity in a Smart City: a Framework for Suggesting and Supervising Walking Paths

dc.contributor.authorRodrigues, Mário
dc.contributor.authorSantos, Rita
dc.contributor.authorQueirós, Alexandra
dc.contributor.authorSilva, Anabela
dc.contributor.authorAmaral, João
dc.contributor.authorSimões, Patrícia
dc.contributor.authorGonçalves, Jorge
dc.contributor.authorMartins, Ciro
dc.contributor.authorPereira, António
dc.contributor.authorRocha, Nelson Pacheco da
dc.date.accessioned2026-03-27T17:58:40Z
dc.date.available2026-03-27T17:58:40Z
dc.date.issued2019
dc.description.abstractThe increase of elderly population creates the need to promote healthy aging, with autonomy and independence, for preserving the functional capacity and quality of life as much as possible. To achieve this goal the recommendations include walking a certain amount of steps daily, given that the exact amount of steps changes with age, lesions, and chronic health conditions that can affect health and well-being. Understanding how much exercise is adequate for an individual requires spe- cialized knowledge and training. It is important to avoid risks that include: (1) be too aggressive in exercising and increase injuries, create new ones, and later refrain in exercising more; or (2) be too conservative and in the long run have an activity level under each one’s potential and below what is recommended. In this article is proposed and discussed a framework that aims to support peo- ple having an adequate level of activity for its particular condition and to do it without disrupting daily routines. The framework is supported by a software system built for monitoring well-being and physical activity in the context of Smart Cities. The system is composed by: (1) smartphone applications that interact with the end-user for showing possible exercises and walk routes, and that collects some relevant data; (2) a back-office application that collects and presents data obtained from the smartphone applications. The back-office application is designed for health professionals to follow users’ progression over time, to recommend new exercises or to correct less optimal situations. The first tests with a system implementing this framework show that the solution is robust and able to be used in a large scale.eng
dc.identifier.citationRodrigues, Mário & Santos, Rita & Queir´os, Alexandra & Silva, Anabela & Amaral, Jo˜ao & Sim˜oes, Patr´ıcia & Gonc¸alves, Jorge & Martins, Ciro & Pereira, António & Rocha, Nelson. (2019). Supporting Better Physical Activity in a Smart City: a Framework for Suggesting and Supervising Walking Paths. Advances in Science, Technology and Engineering Systems Journal. 4. 10.25046/aj040449.
dc.identifier.doi10.25046/aj040449
dc.identifier.issn2415-6698
dc.identifier.issn2415-6698
dc.identifier.urihttp://hdl.handle.net/10400.8/16039
dc.language.isoeng
dc.peerreviewedyes
dc.publisherASTES Journal
dc.relation.hasversionhttps://www.astesj.com/v04/i04/p49/
dc.relation.ispartofAdvances in Science, Technology and Engineering Systems Journal
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmHealth
dc.subjectSmart City
dc.subjectWalk Paths
dc.subjectMobile App
dc.subjectHealth Professional Back-Office
dc.titleSupporting Better Physical Activity in a Smart City: a Framework for Suggesting and Supervising Walking Pathseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage413
oaire.citation.issue4
oaire.citation.startPage404
oaire.citation.titleAdvances in Science, Technology and Engineering Systems Journal
oaire.citation.volume4
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameEng. Mecânica
person.familyNamePereira
person.givenNameAntónio
person.identifier.ciencia-id3E1F-25F1-8519
person.identifier.orcid0000-0003-1219-0596
person.identifier.ridN-4246-2013
person.identifier.scopus-author-id55989034000
relation.isAuthorOfPublication323d37cc-43ff-467a-b882-ac7363e5859c
relation.isAuthorOfPublication.latestForDiscovery323d37cc-43ff-467a-b882-ac7363e5859c

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