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Diagnosis of autism using an eye tracking system

  • Natalia I. Vargas-Cuentas
  • , Daniela Hidalgo
  • , Avid Roman-Gonzalez
  • , Michael Power
  • , Robert H. Gilman
  • , Mirko Zimic
  • Universidad Peruana Cayetano Heredia
  • CCSN
  • Johns Hopkins Bloomberg School of Public Health

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Autism Spectrum Disorders (ASD) are characterized by a deficit in social integration, language development, and restricted interests. ASD is defined as a prevalence development life disability. However, children who are early diagnosed and intervention improve long-term prognosis. This project proposes to detect autism in children at a first level (preclinical stage) using a tool 'eye tracking' highly cost-effective and embedded in a tablet. The results obtained with this system have been compared with the outcomes of the Modified Autism in Children M-CHAT questionnaire.

Original languageEnglish
Title of host publicationGHTC 2016 - IEEE Global Humanitarian Technology Conference
Subtitle of host publicationTechnology for the Benefit of Humanity, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages624-627
Number of pages4
ISBN (Electronic)9781509024322
DOIs
StatePublished - 2016
Event6th Annual IEEE Global Humanitarian Technology Conference, GHTC 2016 - Seattle, United States
Duration: 13 Oct 201616 Oct 2016

Publication series

NameGHTC 2016 - IEEE Global Humanitarian Technology Conference: Technology for the Benefit of Humanity, Conference Proceedings

Conference

Conference6th Annual IEEE Global Humanitarian Technology Conference, GHTC 2016
Country/TerritoryUnited States
CitySeattle
Period13/10/1616/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Autism spectrum disorders
  • M-CHAT
  • diagnosis
  • eye tracking

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