Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41363
DC FieldValueLanguage
dc.contributor.authorProcházka, A.en_US
dc.contributor.authorVysata, O.en_US
dc.contributor.authorSchätz, M.en_US
dc.contributor.authorCharvátová, H.en_US
dc.contributor.authorSuarez Araujo, Carmen Pazen_US
dc.contributor.authorGeman, O.en_US
dc.contributor.authorMarík, V.en_US
dc.date.accessioned2018-06-26T08:32:41Z-
dc.date.available2018-06-26T08:32:41Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-5090-5525-8en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/41363-
dc.description.abstractGeneral methods of video processing and three dimensional modelling have a wide range of applications in engineering, archaeology and spacial objects study. The paper is devoted to applications of these methods in biomedicine and neurology using MS Kinect depth sensor for non-contact monitoring of breathing. A special attention is paid to visualization of results and motion mapping over the selected chest area. The proposed methodology applies digital signal processing methods and functional transforms for acquired data de-noising, spectral analysis, and feature selection. Suggested method uses further the local polynomial approxima-tion to detect extremal values of spectral components. The results verify the correspondence between the evaluations of the breathing frequency obtained from the thorax movement recorded by the depth sensor. The study proves that simple depth sensors can be used for non-contact detection of breathing frequency and for the three dimensional modelling of the chest movement. The proposed non-contact method enables to analyse breathing for diagnostic purposes and monitoring in the home environment as a component of assisted living technologies. General methodology studied form a contribu-tion to the use of video sequences or sets of images for spacial objects modelling, their recognition, possible three dimen-sional printing or analysis of time evolution of their features.en_US
dc.languageengen_US
dc.source2016 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2016en_US
dc.subject120325 Diseño de sistemas sensoresen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject32 Ciencias médicasen_US
dc.subject.otherBreathing analysisen_US
dc.subject.otherComputational intelligenceen_US
dc.subject.otherDepth sensorsen_US
dc.subject.otherThree dimensional modellingen_US
dc.subject.otherVideo data processingen_US
dc.titleVideo processing and 3D modelling of chest movement using MS Kinect depth sensoren_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2016 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2016en_US
dc.identifier.doi10.1109/IWCIM.2016.7801175en_US
dc.identifier.scopus85011003355-
dc.identifier.isi000392205700002-
dc.contributor.authorscopusid7005747805-
dc.contributor.authorscopusid6602874156-
dc.contributor.authorscopusid56326000500-
dc.contributor.authorscopusid14044590900-
dc.contributor.authorscopusid23476354000-
dc.contributor.authorscopusid53863372800-
dc.contributor.authorscopusid7004172159-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid581151-
dc.contributor.daisngid442215-
dc.contributor.daisngid2380152-
dc.contributor.daisngid1581234-
dc.contributor.daisngid1776211-
dc.contributor.daisngid1161713-
dc.contributor.daisngid388264-
dc.description.numberofpages5en_US
dc.identifier.eisbn978-1-5090-5524-1-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Prochazka, A-
dc.contributor.wosstandardWOS:Vysata, O-
dc.contributor.wosstandardWOS:Schatz, M-
dc.contributor.wosstandardWOS:Charvatova, H-
dc.contributor.wosstandardWOS:Araujo, CPS-
dc.contributor.wosstandardWOS:Geman, O-
dc.contributor.wosstandardWOS:Marik, V-
dc.date.coverdateDiciembre 2016en_US
dc.identifier.conferenceidevents121019-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUCTC: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8826-0899-
crisitem.author.parentorgIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.fullNameSuárez Araujo, Carmen Paz-
crisitem.event.eventsstartdate27-10-2016-
crisitem.event.eventsenddate28-10-2016-
Appears in Collections:Actas de congresos
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