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Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera

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dc.contributor.authorSmith, Benjamin Andrewen
dc.contributor.committeechairRoach, John W.en
dc.contributor.committeememberLockhart, Thurmon E.en
dc.contributor.committeememberJohnson, Martin E.en
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2014-03-14T20:33:57Zen
dc.date.adate2007-06-19en
dc.date.available2014-03-14T20:33:57Zen
dc.date.issued2007-04-06en
dc.date.rdate2007-06-19en
dc.date.sdate2007-04-20en
dc.description.abstractThe extraction and analysis of human gait characteristics using image sequences and the subsequent classification of these characteristics are currently an intense area of research. Recently, the focus of this research area has turned to the realm of computer vision as an unobtrusive way of performing this analysis. With such systems becoming more common, a gait analysis system that will quickly and accurately determine if a subject is walking normally becomes more valuable. Such a system could be used as a preprocessing step in a more sophisticated gait analysis system or could be used for rehabilitation purposes. In this thesis a system is proposed which utilizes a novel fusion of spatial computer vision operations as well as motion in order to accurately and efficiently determine if a subject moving through a scene is walking normally or abnormally. Specifically this system will yield a classification of the type of motion being observed, whether it is a human walking normally or some other kind of motion taking place within the frame. Experimental results will show that the system provides accurate detection of normal walking and can distinguish abnormalities as subtle as limping or walking with a straight leg reliably.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-04202007-152929en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-04202007-152929/en
dc.identifier.urihttp://hdl.handle.net/10919/31795en
dc.publisherVirginia Techen
dc.relation.haspartBenSmith_MSThesis_042407.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectGaiten
dc.subjectAbnormality Detectionen
dc.subjectPattern Recognitionen
dc.subjectComputer Visionen
dc.titleDetermination of Normal or Abnormal Gait Using a Two-Dimensional Video Cameraen
dc.typeThesisen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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