{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/140137"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/140137","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"System to Enhance Communication for Minimally Verbal Individual with Autism","abstract":"This 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.","abstract_html":"This 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.","abstract_has_math":false,"creators":["Shin, Hye Young"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["System to Enhance Communication for Minimally Verbal Individual with Autism"]}]}],"canonical_facts":{"dc:contributor.advisor":["Maes, Pattie"],"dc:contributor.department":["Massachusetts Institute of Technology. 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