System to Enhance Communication for Minimally Verbal Individual with Autism
Name
Shin-hyshin-meng-eecs-2021-thesis.pdf
Description
Thesis PDF
Size
2.3 MB
Format
Adobe PDF
Checksum (MD5)
502f218f61669e579107acf74a25ed5a
Author(s)
Shin, Hye Young
Advisor(s)
Maes, Pattie
Date Issued
September 2021
Publisher
Massachusetts Institute of Technology
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
In Copyright - Educational Use Permitted
Copyright MIT
Persistent DSpace Link