Evaluation of MS kinect for elderly meal intake monitoring

dc.contributor.authorCunha, Antóniopor
dc.contributor.authorPádua, Luíspor
dc.contributor.authorCosta, Luíspor
dc.contributor.authorTrigueiros, Paulapor
dc.date.accessioned2016-12-29T17:59:56Z
dc.date.available2016-12-29T17:59:56Z
dc.date.issued2014-10
dc.description.abstractAny form of eating disorder is detrimental for health. Having an eating disorder increases the risks for chronic diseases and general morbidity, leading to several health problems such as obesity, hypertension and cardio-vascular diseases. The risk is greater for elderly people, as ageing submits the body to several functional changes that affect health and nutrition conditions. Automatic monitoring systems can help to prevent these risks by supporting people to maintain appropriate eating behaviours. Ageing services based on ICT assistive services are increasing as a result of the awareness of the growing socio-economic relevance of this issue, especially when we consider the rural and very sparsely-populated areas. In order to assess these requirements, systems should be automatic, non-intrusive and low cost. This paper presents an evaluation test of the Microsoft Kinect sensor for monitoring older people's meal intake, with the aim of contributing to the development of an automatic diet monitoring system.por
dc.description.sponsorshipThe authors thank the FEUP – Faculdade de Engenharia da Universidade do Porto through the Project I-City for Future Mobility: NORTE-07-0124-FEDER-000064, and European Project FP7 - Future Cities: FP7-REGPOT-2012-2013-1.por
dc.distributioninternationalpor
dc.identifier.citationCunha, A., Pádua, L., Costa, L., & Trigueiros, P. (2014). Evaluation of MS Kinect for Elderly Meal Intake Monitoring. Procedia Technology. Elsevier BV. http://doi.org/10.1016/j.protcy.2014.10.156por
dc.identifier.doi10.1016/j.protcy.2014.10.156por
dc.identifier.issn2212-0173por
dc.identifier.urihttps://hdl.handle.net/1822/44001
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relationExpand the Centre of Competence in Future Cities of the University of Porto to Strengthen Inter-Disciplinary Research and Knowledge Transfer to the Industry in the Norte Region of Portugal [316296]
dc.relation.hasversionhttp://www.sciencedirect.com/science/article/pii/S2212017314003831
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectIntake gesturespor
dc.subjectMicrosoft Kinectpor
dc.subjectElderly peoplepor
dc.subjectAssistive technologypor
dc.subjectEating monitoringpor
dc.subjectAgingpor
dc.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.fosCiências Sociais::Outras Ciências Sociaispor
dc.titleEvaluation of MS kinect for elderly meal intake monitoringpor
dc.typeconferencePaperpor
dspace.entity.typePublicationen
oaire.awardNumber316296
oaire.awardTitleExpand the Centre of Competence in Future Cities of the University of Porto to Strengthen Inter-Disciplinary Research and Knowledge Transfer to the Industry in the Norte Region of Portugal [316296]
oaire.awardURIhttps://hdl.handle.net/1822/103686
oaire.citationEndPage1390por
oaire.citationStartPage1383por
oaire.citationTitleProcedia Technologypor
oaire.citationVolume16por
oaire.funderIdentifierhttps://doi.org/10.13039/501100000780
oaire.funderNameEuropean Commission
oaire.fundingStreamFP7
relation.isProjectOfPublication6321c57a-add0-41ce-8205-294835ca07f5
relation.isProjectOfPublication.latestForDiscovery6321c57a-add0-41ce-8205-294835ca07f5
sdum.journalProcedia Technologypor

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