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dc.contributor.advisorSkubic, Margeeng
dc.contributor.authorReed, Kevin W.eng
dc.date.issued2009eng
dc.date.submitted2009 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on Feb 18, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Marjorie Skubic.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri--Columbia 2009.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Computer engineering.eng
dc.description.abstractIn this work, I have developed an algorithm to detect the presence of visitors in a noninvasive manner. This algorithm is designed as part of an in home monitoring system. The data from the algorithm will be used as a way to monitor the social health of the resident. It will also be used to help isolate the times when the resident is in the apartment alone, so that parameters like activity levels can be calculated. Type-1 and Type-2 fuzzy systems are compared for classification performance. A series of lab tests provided the information necessary to model the motion sensors. Results from the motion sensor tests are used as guides for the Footprint of Uncertainty (FOU) used in the Type-2 systems. It is shown that the FOU values do not significantly impact the classification accuracy of the Type-2 systems. Classification accuracy of the ground truth data collected in a test apartment reached 88%. Additionally, the Type-2 MISO 2 Agent and Type-2 SISO systems best identify the known visitor times in the resident apartments. Ongoing human subject monitoring data is evaluated empirically. The results from an organized set of tests in a test apartment are presented.eng
dc.format.extentxi, 137 pageseng
dc.identifier.oclc537671693eng
dc.identifier.otherReedK-070109-T277eng
dc.identifier.urihttp://hdl.handle.net/10355/6478eng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2009 Freely available theses (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2009 Theseseng
dc.subject.lcshDwellings -- Security measureseng
dc.subject.lcshLife care communities -- Security measureseng
dc.subject.lcshFuzzy systemseng
dc.subject.lcshAlgorithms -- Designeng
dc.subject.lcshMotion control deviceseng
dc.titleType-1 and type-2 fuzzy systems for detecting visitors in an uncertain environmenteng
dc.typeThesiseng
thesis.degree.disciplineComputer engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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