Tretigade A hybrid computational framework for detection of neurological functional movement disorder

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dc.contributor.guideAnouncia, Margret S
dc.coverage.spatialComputer Science
dc.creator.researcherRoy, Kuhelee
dc.date.accessioned2020-03-19T11:32:06Z
dc.date.available2020-03-19T11:32:06Z
dc.date.awardedn.d.
dc.date.completed2017
dc.date.registeredn.d.
dc.description.abstractfile attached
dc.description.notereferences p.99-113
dc.format.accompanyingmaterialNone
dc.format.dimensions-
dc.format.extent113 p.
dc.identifier.urihttp://hdl.handle.net/10603/282713
dc.languageEnglish
dc.publisher.institutionSchool of Computing Science and Engineering
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.relation-
dc.rightsuniversity
dc.source.inflibnetINFLIBNET
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordFacial Dynamics
dc.subject.keywordFunctional Movement Disorder
dc.subject.keywordGait Patterns
dc.subject.keywordHuman Computer Interaction
dc.subject.keywordNeurological disorders
dc.subject.keywordOptical Flow
dc.subject.keywordTremor
dc.titleTretigade A hybrid computational framework for detection of neurological functional movement disorder
dc.title.alternative-
dc.type.degreePh.D.

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