Evaluation of MS kinect for elderly meal intake monitoring
| dc.contributor.author | Cunha, António | por |
| dc.contributor.author | Pádua, Luís | por |
| dc.contributor.author | Costa, Luís | por |
| dc.contributor.author | Trigueiros, Paula | por |
| dc.date.accessioned | 2016-12-29T17:59:56Z | |
| dc.date.available | 2016-12-29T17:59:56Z | |
| dc.date.issued | 2014-10 | |
| dc.description.abstract | Any 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.sponsorship | The 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.distribution | international | por |
| dc.identifier.citation | Cunha, 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.2014.10.156 | por |
| dc.identifier.doi | 10.1016/j.protcy.2014.10.156 | por |
| dc.identifier.issn | 2212-0173 | por |
| dc.identifier.uri | https://hdl.handle.net/1822/44001 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Elsevier | por |
| dc.relation | Expand 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.hasversion | http://www.sciencedirect.com/science/article/pii/S2212017314003831 | |
| dc.rights | openAccess | por |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
| dc.subject | Intake gestures | por |
| dc.subject | Microsoft Kinect | por |
| dc.subject | Elderly people | por |
| dc.subject | Assistive technology | por |
| dc.subject | Eating monitoring | por |
| dc.subject | Aging | por |
| dc.subject.fos | Engenharia e Tecnologia::Outras Engenharias e Tecnologias | por |
| dc.subject.fos | Ciências Sociais::Outras Ciências Sociais | por |
| dc.title | Evaluation of MS kinect for elderly meal intake monitoring | por |
| dc.type | conferencePaper | por |
| dspace.entity.type | Publication | en |
| oaire.awardNumber | 316296 | |
| oaire.awardTitle | Expand 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.awardURI | https://hdl.handle.net/1822/103686 | |
| oaire.citationEndPage | 1390 | por |
| oaire.citationStartPage | 1383 | por |
| oaire.citationTitle | Procedia Technology | por |
| oaire.citationVolume | 16 | por |
| oaire.funderIdentifier | https://doi.org/10.13039/501100000780 | |
| oaire.funderName | European Commission | |
| oaire.fundingStream | FP7 | |
| relation.isProjectOfPublication | 6321c57a-add0-41ce-8205-294835ca07f5 | |
| relation.isProjectOfPublication.latestForDiscovery | 6321c57a-add0-41ce-8205-294835ca07f5 | |
| sdum.journal | Procedia Technology | por |
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