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dc.contributor.advisorMaes, Pattie
dc.contributor.authorShin, Hye Young
dc.date.accessioned2022-02-07T15:26:14Z
dc.date.available2022-02-07T15:26:14Z
dc.date.issued2021-09
dc.date.submitted2021-11-03T19:25:26.535Z
dc.identifier.urihttps://hdl.handle.net/1721.1/140137
dc.description.abstractThis paper aims to create tools to enhance communication for individuals with with nvASD(non-verbal autism spectrum disorder) and mvASD(minimally-verbal autism spectrum disorder). Using machine learning and android application interface, I aim to classify and better convey the intentions of individuals with nv/mvASD, and the meanings of what they want to convey to others. This paper demonstrates new possibilities to better understand nv/mvASD individuals’ vocalization intent by using machine learning and to provide an interface for enhanced communication between caretakers and Autistic individuals who do not use traditional spoken communication words.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright MIT
dc.rights.urihttp://rightsstatements.org/page/InC-EDU/1.0/
dc.titleSystem to Enhance Communication for Minimally Verbal Individual with Autism
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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