Tracking Visible Features of Speech for Computer-Based Speech Therapy for Childhood Apraxia of Speech

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dc.contributor.advisorBaljko, Melanie
dc.creatorZhian, Zhian
dc.date.accessioned2018-03-01T13:48:18Z
dc.date.available2018-03-01T13:48:18Z
dc.date.copyright2017-05-23
dc.date.issued2018-03-01
dc.date.updated2018-03-01T13:48:18Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractAt present, there are few, if any, effective computer-based speech therapy systems (CBSTs) that support the at-home component for clinical interventions for Childhood Apraxia of Speech (CAS). PROMPT, an established speech therapy intervention for CAS, has the potential to be supported via a CBST, which could increase engagement and provide valuable feedback to the child. However, the necessary computational techniques have not yet been developed and evaluated. In this thesis, I will describe the development of some of the key underlying computational components that are required for the development of such a system. These components concern camera-based tracking of visible features of speech which concern jaw kinematics. These components would also be necessary for the serious game that we have envisioned.
dc.identifier.urihttp://hdl.handle.net/10315/34270
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectEarly childhood education
dc.subject.keywordsApraxia of speech
dc.subject.keywordsUser center design
dc.subject.keywordsPROMPT
dc.subject.keywordsSerious game
dc.subject.keywordsFace detection using Jason face tracker
dc.subject.keywordsChin detection
dc.subject.keywordsHaar cascade
dc.subject.keywordsEMA
dc.subject.keywordsWave sensors
dc.subject.keywordsHome therapy
dc.subject.keywordsSpeech therapy for CAS
dc.subject.keywordsIdentification of visible facial features
dc.titleTracking Visible Features of Speech for Computer-Based Speech Therapy for Childhood Apraxia of Speech
dc.typeElectronic Thesis or Dissertation

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