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Using mixed reality and machine learning to assist caregivers in nursing home and promote well-being

2023Conference paper Restricted access
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dc.contributor.authorCunha, Carlos R.
dc.contributor.authorMoreira, André Silva
dc.contributor.authorPires, Luís
dc.contributor.authorFernandes, Paula Odete
dc.date.accessioned2023-07-18T08:39:52Z
dc.date.available2023-07-18T08:39:52Z
dc.date.issued2023
dc.description.abstractThe aging phenomenon in many of the developed countries all over the world, combined with the increase in life expectancy, has led to an increase in the number of elderly people resorting to nursing homes. In this context, the role of the caregiver is now a focus of increasing importance. The idea of ​​well-being combined with health and the provision of highly personalized quality care, requires a reengineering of the current concept/space of a nursing home. In this domain, Mixed Reality and Machine Learning have shown enormous potential to design new approaches to Information Systems to support caregiver activity. This redesign should be based on the empowerment of the caregiver and the facilitation of a more immersive support system for their activity and more suitable for a job that is in the field and not in the office, enabling them in real time with decision support information. This article, after an introduction to the reality of aging and the concept of the nursing home, makes a review of the state of the art of what has been the introduction of technology in nursing homes. As a contribution, this work proposes a model based on the combined use of Mixed Reality and Machine Learning, capable of redesigning the way caregivers are helped by empowering them.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCunha, Carlos R.; Moreira, André Silva; Pires, Luís; Fernandes, Paulo O. (2023). Using mixed reality and machine learning to assist caregivers in nursing home and promote well-being. In International Conference on ENTERprise Information Systems / ProjMAN – International Conference on Project MANagement / HCist – International Conference on Health and Social Care Information Systems and Technologies - Centeris 2022. Procedia Computer Science. p. 1081-1088. ISSN 1877-0509pt_PT
dc.identifier.doi10.1016/j.procs.2023.01.387pt_PT
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10198/28549
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMixed realitypt_PT
dc.subjectMachine learningpt_PT
dc.subjectIoTpt_PT
dc.subjectModelpt_PT
dc.subjectWell-beingpt_PT
dc.subjectNursing homept_PT
dc.subjectHealthpt_PT
dc.titleUsing mixed reality and machine learning to assist caregivers in nursing home and promote well-beingpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage1088pt_PT
oaire.citation.startPage1081pt_PT
oaire.citation.titleProcedia Computer Sciencept_PT
oaire.citation.volume219pt_PT
person.familyNameCunha
person.familyNameMoreira
person.familyNamePires
person.familyNameFernandes
person.givenNameCarlos R.
person.givenNameAndré Silva
person.givenNameLuís
person.givenNamePaula Odete
person.identifierR-001-NSC
person.identifierN-3804-2013
person.identifier.ciencia-id2316-5664-FF6F
person.identifier.ciencia-id9F19-60C9-1A54
person.identifier.ciencia-id5C17-F4F0-882E
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.orcid0000-0003-3085-1562
person.identifier.orcid0000-0002-6253-6615
person.identifier.orcid0000-0002-1672-0577
person.identifier.orcid0000-0001-8714-4901
person.identifier.ridH-2678-2014
person.identifier.scopus-author-id57202512811
person.identifier.scopus-author-id35200741800
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication14626e32-5646-48ad-9242-30944450dd8e
relation.isAuthorOfPublication2f58713f-67ca-4d85-b551-462debe9d168
relation.isAuthorOfPublication9a06b453-7759-411e-ae0d-c050e55b4165
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication.latestForDiscovery14626e32-5646-48ad-9242-30944450dd8e

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