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dc.contributor.authorYeluri, Durga
dc.date.accessioned2014-03-03T23:25:33Z
dc.date.available2014-03-03T23:25:33Z
dc.date.issued2005-08
dc.identifier.otheryeluri_durga_200508_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/yeluri_durga_200508_ms
dc.identifier.urihttp://hdl.handle.net/10724/22850
dc.description.abstractAutomatically recognizing and identifying the characteristics of a cranial cruciate de cientdog`s gait with the presence of Osteoarthritis is very helpful to the veterinarians. A cruciate de -cient dog`s gait has several features which can indicate dysfunction. These features are representedby raw data obtained from the College of Veterinary Medicine, UGA. This data was trained andtested with existing learning tools such as NeuroShell and See- 5.0 to nd patterns of regularityand classi cation. Based on this one of the features was chosen “Internal /External rotation” angle.In this thesis, we have discussed several pattern recognition methods to determine the dys-function in cruciate de cient dogs with osteoarthritis. We have also discussed the building of arecognition system based on Fourier domain representation of “Internal /External rotation” angle,which has proved to be the most discerning feature between dogs with and without sti e instabilityand secondary osteoarthritis.Having found this feature, to recognize the presence of osteoarthritis automatically, 3 algo-rithms have been implemented - Neural Network Learner, Decision Tree Learner and K-NearestNeighbors (KNN). The recognition system performed well in the classi cation.INDEXWORDS:Osteoarthritis, Gait Analysis, Flexion, Extension, Internal Rotation,External Rotation, Abduction, AdductionUSING PATTERN RECOGNITION TECHNIQUESTO DETERMINE CHANGESINTHE GAITOFCRANIAL CRUCIATE DEFICIENT DOGSWITH OSTEOARTHRITISbyDURGA YELURIB.Tech, Kakatiya University, India, 2001A Thesis Submitted to the Graduate Facultyof The University of Georgia in Partial Ful llmentof theRequirements for the DegreeMASTEROF SCIENCEATHENS, GEORGIA2005
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectOsteoarthritis
dc.subjectGait Analysis
dc.subjectFlexion
dc.subjectExtension
dc.subjectInternal Rotation
dc.subjectExternal Rotation
dc.subjectAbduction
dc.subjectAdduction
dc.titleUsing pattern recognition techniques to determine changes in the gait of cranial cruciate deficient dogs with osteoarthritis
dc.typeThesis
dc.description.degreeMS
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorHamid R. Arabnia
dc.description.committeeHamid R. Arabnia
dc.description.committeeKhaled Rasheed
dc.description.committeeSteven C. Budsberg


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