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

dc.contributor.author Vargas-Cuentas, NI es_PE
dc.contributor.author Roman-Gonzalez, A es_PE
dc.contributor.author Gilman, RH es_PE
dc.contributor.author Barrientos, F es_PE
dc.contributor.author Ting, J es_PE
dc.contributor.author Hidalgo, D es_PE
dc.contributor.author Jensen, K es_PE
dc.contributor.author Zimic, M es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2017
dc.description.abstract 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.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1371/journal.pone.0188826
dc.identifier.isi 436944500011
dc.identifier.uri https://hdl.handle.net/20.500.12390/964
dc.language.iso eng
dc.publisher PLoS ONE
dc.relation.ispartof PLOS ONE
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Diagnostico
dc.subject Algoritmo es_PE
dc.subject Autismo es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.24
dc.title Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
Archivos