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dc.contributor.authorJolly, Vineet Kumaren_US
dc.date.accessioned2014-03-14T20:46:04Z
dc.date.available2014-03-14T20:46:04Z
dc.date.issued2006-08-08en_US
dc.identifier.otheretd-09282006-021229en_US
dc.identifier.urihttp://hdl.handle.net/10919/35219
dc.description.abstractA wearable device that accurately records a user's daily activities is of substantial value. It can be used to enhance medical monitoring by maintaining a diary that lists what a person was doing and for how long. The design of a wearable system to record context such as activity recognition is influenced by a combination of variables. A flexible yet systematic approach for building a software classification environment according to a set of variables is described. The integral part of the software design is the use of a unique robust classifier that uses principal component analysis (PCA) through singular value decomposition (SVD) to perform real-time activity recognition. The thesis describes the different facets of the SVD-based approach and how the classifier inputs can be modified to better differentiate between activities. This thesis presents the design and implementation of a classification environment used to perform activity detection for a wearable e-textile system.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartIRB_s05-690_Approval.pdfen_US
dc.relation.haspartJollyThesis.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectactivity recognitionen_US
dc.subjecte-textilesen_US
dc.subjectsvden_US
dc.titleActivity Recognition using Singular Value Decompositionen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
dc.contributor.committeememberPlassmann, Paul E.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09282006-021229/en_US
dc.contributor.committeecochairJones, Mark T.en_US
dc.contributor.committeecochairMartin, Thomas L.en_US
dc.date.sdate2006-09-28en_US
dc.date.rdate2006-11-09
dc.date.adate2006-11-09en_US


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