Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/43992
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Costa, Luis | por |
dc.contributor.author | Trigueiros, Paula | por |
dc.contributor.author | Cunha, António | por |
dc.date.accessioned | 2016-12-29T17:11:24Z | - |
dc.date.available | 2016-12-29T17:11:24Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.citation | Costa, L., Trigueiros, P., & Cunha, A. (2016). Automatic meal intake monitoring using Hidden Markov Models. In Procedia Computer Science (Vol. 100, pp. 110–117). | por |
dc.identifier.issn | 1877-0509 | por |
dc.identifier.uri | https://hdl.handle.net/1822/43992 | - |
dc.description.abstract | In the latest years, the number of elderly people that has been living alone and need regular support has highly increased. Meal intake monitoring is a well-known strategy that enables premature detection of health problems. There are several attempts to develop automatic meal intake monitoring systems, but they are inadequate to monitor elderly people at home. In this context, we propose an automatic meal intake monitoring system that helps tracking people's eating behaviors, and is adequate for elderly remote monitoring at home due to its nonintrusive features. The system uses the MS Kinect sensor that provides the coordinates of the user's sitting skeleton during his meals. It analyzes the coordinates, detects eating gestures, and classifies them using Hidden Markov Models (HMMs) to estimate the user's eating behavior. A demonstrative prototype for detection and classification of gestures was implemented and tested. The detection module got satisfactory percentages of sensitivity, having a minimum of 72.7% and a maximum of 90%. The Classification module was tested with 3 proposed methods and the best method had a good average percentage of success (approximately 83%) in the classification of Soup and Main dish; regarding the left hand transporting Liquids, the results were less successful. | por |
dc.description.sponsorship | ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme | por |
dc.description.sponsorship | FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project «POCI-01-0145-FEDER-006961», and by Project Lab2PT - Landscapes, Heritage and Territory Laboratory-AUR/04509 and FCTMEC through national funds and when applicable of the FEDER co-financing, in the aim of the new PT2020 partnership agreement | por |
dc.language.iso | eng | por |
dc.publisher | Elsevier B.V. | por |
dc.relation | POCI-01-0145-FEDER-006961 | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147320/PT | por |
dc.relation | POCI-01-0145-FEDER-007528 | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | Remote monitoring | por |
dc.subject | Meal intake | por |
dc.subject | Elderly people | por |
dc.subject | Microsoft Kinect | por |
dc.subject | Hidden Markov Models | por |
dc.title | Automatic meal intake monitoring using Hidden Markov Models | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1877050916322980 | por |
sdum.publicationstatus | info:eu-repo/semantics/publishedVersion | por |
oaire.citationConferenceDate | October, 5-7, 2016 | - |
sdum.event.title | International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN / HCist 2016 | - |
oaire.citationStartPage | 110 | por |
oaire.citationEndPage | 117 | por |
oaire.citationTitle | Procedia Computer Science | por |
oaire.citationVolume | 100 | por |
dc.identifier.doi | 10.1016/j.procs.2016.09.130 | por |
dc.subject.fos | Engenharia e Tecnologia::Outras Engenharias e Tecnologias | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Procedia Computer Science | por |
sdum.conferencePublication | INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2016 | por |
Aparece nas coleções: | EAAD - Comunicações Lab2PT - Comunicações Lab2PT - Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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20161000_Automatic meal intake monitoring using HMMs.pdf | 181,42 kB | Adobe PDF | Ver/Abrir |
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