Baljko, Melanie2018-03-012018-03-012017-05-232018-03-01http://hdl.handle.net/10315/34270At 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.enAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Early childhood educationElectronic Thesis or Dissertation2018-03-01Apraxia of speechUser center designPROMPTSerious gameFace detection using Jason face trackerChin detectionHaar cascadeEMAWave sensorsHome therapySpeech therapy for CASIdentification of visible facial features