Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children

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Autism spectrum disorder (ASD) currently affects nearly 1 in 160 children worldwide. In over two-thirds of evaluations, no validated diagnostics are used and gold standard diagnostic tools are used in less than 5% of evaluations. Currently, the diagnosis of ASD requires lengthy and expensive tests,...

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Detalles Bibliográficos
Autores: Vargas-Cuentas, NI, Roman-Gonzalez, A, Gilman, RH, Barrientos, F, Ting, J, Hidalgo, D, Jensen, K, Zimic, M
Formato: artículo
Fecha de Publicación:2017
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/964
Enlace del recurso:https://hdl.handle.net/20.500.12390/964
https://doi.org/10.1371/journal.pone.0188826
Nivel de acceso:acceso abierto
Materia:Diagnostico
Algoritmo
Autismo
https://purl.org/pe-repo/ocde/ford#3.02.24
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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
title Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
spellingShingle Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
Vargas-Cuentas, NI
Diagnostico
Algoritmo
Autismo
https://purl.org/pe-repo/ocde/ford#3.02.24
title_short Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
title_full Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
title_fullStr Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
title_full_unstemmed Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
title_sort Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
author Vargas-Cuentas, NI
author_facet Vargas-Cuentas, NI
Roman-Gonzalez, A
Gilman, RH
Barrientos, F
Ting, J
Hidalgo, D
Jensen, K
Zimic, M
author_role author
author2 Roman-Gonzalez, A
Gilman, RH
Barrientos, F
Ting, J
Hidalgo, D
Jensen, K
Zimic, M
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vargas-Cuentas, NI
Roman-Gonzalez, A
Gilman, RH
Barrientos, F
Ting, J
Hidalgo, D
Jensen, K
Zimic, M
dc.subject.none.fl_str_mv Diagnostico
topic Diagnostico
Algoritmo
Autismo
https://purl.org/pe-repo/ocde/ford#3.02.24
dc.subject.es_PE.fl_str_mv Algoritmo
Autismo
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.02.24
description Autism spectrum disorder (ASD) currently affects nearly 1 in 160 children worldwide. In over two-thirds of evaluations, no validated diagnostics are used and gold standard diagnostic tools are used in less than 5% of evaluations. Currently, the diagnosis of ASD requires lengthy and expensive tests, in addition to clinical confirmation. Therefore, fast, cheap, portable, and easy-to-administer screening instruments for ASD are required. Several studies have shown that children with ASD have a lower preference for social scenes compared with children without ASD. Based on this, eye-tracking and measurement of gaze preference for social scenes has been used as a screening tool for ASD. Currently available eye-tracking software requires intensive calibration, training, or holding of the head to prevent interference with gaze recognition limiting its use in children with ASD.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/964
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1371/journal.pone.0188826
dc.identifier.isi.none.fl_str_mv 436944500011
url https://hdl.handle.net/20.500.12390/964
https://doi.org/10.1371/journal.pone.0188826
identifier_str_mv 436944500011
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv PLOS ONE
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.publisher.none.fl_str_mv PLoS ONE
publisher.none.fl_str_mv PLoS ONE
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
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spelling Publicationrp02631600rp00898500rp00604500rp00897500rp02629600rp02630600rp02632600rp00606400Vargas-Cuentas, NIRoman-Gonzalez, AGilman, RHBarrientos, FTing, JHidalgo, DJensen, KZimic, M2024-05-30T23:13:38Z2024-05-30T23:13:38Z2017https://hdl.handle.net/20.500.12390/964https://doi.org/10.1371/journal.pone.0188826436944500011Autism spectrum disorder (ASD) currently affects nearly 1 in 160 children worldwide. In over two-thirds of evaluations, no validated diagnostics are used and gold standard diagnostic tools are used in less than 5% of evaluations. Currently, the diagnosis of ASD requires lengthy and expensive tests, in addition to clinical confirmation. Therefore, fast, cheap, portable, and easy-to-administer screening instruments for ASD are required. Several studies have shown that children with ASD have a lower preference for social scenes compared with children without ASD. Based on this, eye-tracking and measurement of gaze preference for social scenes has been used as a screening tool for ASD. 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In over two-thirds of evaluations, no validated diagnostics are used and gold standard diagnostic tools are used in less than 5% of evaluations. Currently, the diagnosis of ASD requires lengthy and expensive tests, in addition to clinical confirmation. Therefore, fast, cheap, portable, and easy-to-administer screening instruments for ASD are required. Several studies have shown that children with ASD have a lower preference for social scenes compared with children without ASD. Based on this, eye-tracking and measurement of gaze preference for social scenes has been used as a screening tool for ASD. Currently available eye-tracking software requires intensive calibration, training, or holding of the head to prevent interference with gaze recognition limiting its use in children with ASD.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
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