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dc.contributor.advisorSkubic, Margeen_US
dc.contributor.authorReed, Kevin W.en_US
dc.date.issued2009en_US
dc.date.submitted2009 Summeren_US
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on Feb 18, 2010).en_US
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.en_US
dc.descriptionThesis advisor: Dr. Marjorie Skubic.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionM.S. University of Missouri--Columbia 2009.en_US
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Computer engineering.en_US
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.en_US
dc.format.extentxi, 137 pagesen_US
dc.identifier.oclc537671693en_US
dc.identifier.otherReedK-070109-T277en_US
dc.identifier.urihttp://hdl.handle.net/10355/6478
dc.publisherUniversity of Missouri--Columbiaen_US
dc.relation.ispartof2009 Freely available theses (MU)en_US
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2009 Theses
dc.subject.lcshDwellings -- Security measuresen_US
dc.subject.lcshLife care communities -- Security measuresen_US
dc.subject.lcshFuzzy systemsen_US
dc.subject.lcshAlgorithms -- Designen_US
dc.subject.lcshMotion control devicesen_US
dc.titleType-1 and type-2 fuzzy systems for detecting visitors in an uncertain environmenten_US
dc.typeThesisen_US
thesis.degree.disciplineComputer engineeringen_US
thesis.degree.grantorUniversity of Missouri--Columbiaen_US
thesis.degree.levelMastersen_US
thesis.degree.nameM.S.en_US


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