<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T20:24:58Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/140137" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/140137</identifier><datestamp>2022-02-08T03:00:55Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Maes, Pattie</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Shin, Hye Young</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2022-02-07T15:26:14Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued">2021-09</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2021-11-03T19:25:26.535Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/140137</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="rights">Copyright MIT</dim:field>
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   <dim:field mdschema="dc" element="title">System to Enhance Communication for Minimally Verbal Individual with Autism</dim:field>
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   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Engineering in Electrical Engineering and Computer Science</dim:field>
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   	&lt;Title>System to Enhance Communication for Minimally Verbal Individual with Autism&lt;/Title>
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   	&lt;PublicationDate>2021-09&lt;/PublicationDate>
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        	&lt;DisplayName>Shin, Hye Young&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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   	&lt;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.&lt;/Abstract>
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