System to Enhance Communication for Minimally Verbal Individual with Autism

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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Shin, Hye Young

Advisor dc:contributor.advisor

• Maes, Pattie

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/140137

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/140137