Recognition of occupational therapy exercises for cerebral palsy

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buir.advisorGüdükbay, Uğur
dc.contributor.authorOngun, Mehmet Faruk
dc.date.accessioned2018-09-21T07:39:55Z
dc.date.available2018-09-21T07:39:55Z
dc.date.copyright2018-09
dc.date.issued2018-09
dc.date.submitted2018-09-20
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Computer Engineering, İhsan Doğramacı Bilkent University, 2018.en_US
dc.descriptionIncludes bibliographical references (leaves 54-59).en_US
dc.description.abstractDepth camera-based virtual rehabilitation systems are gaining traction in occupational therapy for approaching patients with cerebral palsy. When developing such a system, a domain speci c exercise recognition method is vital. In order to design a successful gesture recognition solution for this speci c purpose, some obstacles needs to be overcome, namely; detection of gestures that are not related to the de ned exercise set and recognition of incorrect exercises that are performed by the patients to compensate for their lack of ability. A combination of solutions, that are based on hidden Markov models, targeting aforementioned obstacles are proposed and elaborated on. The proposed solution works for upper extremity functional exercises and critical compensation mistakes together with restrictions for classifying these mistakes are determined with the help of occupational therapists. Afterwards, we rst aim to eliminate the unde ned gestures by designing two models that produce adaptive threshold values. Then, we utilize speci c negative models based on an approach named feature thresholding and train them speci cally for each exercise to distinguish the compensation mistakes. We conducted various tests using our method in a laboratory environment under the supervision of occupational therapists and presented the results of our proposed approach.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityby Mehmet Faruk Ongun.en_US
dc.format.extentxii, 59 leaves : illustrations, charts ; 30 cm.en_US
dc.identifier.itemidB159021
dc.identifier.urihttp://hdl.handle.net/11693/47897
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGesture Recognitionen_US
dc.subjectCerebral Palsyen_US
dc.subjectOccupational Therapyen_US
dc.subjectHidden Markov Modelen_US
dc.subjectExercise Recognitionen_US
dc.subjectDepth Cameraen_US
dc.subjectVirtual Rehabilitationen_US
dc.titleRecognition of occupational therapy exercises for cerebral palsyen_US
dc.title.alternativeSerebral palsi hastalığına yönelik ergoterapi egzersizlerinin tanınmasıen_US
dc.typeThesisen_US
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