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Applying Eye Tracking to Identify Autism Spectrum Disorder in Children / G. WAN in Journal of Autism and Developmental Disorders, 49-1 (January 2019)
[article]
Titre : Applying Eye Tracking to Identify Autism Spectrum Disorder in Children Type de document : Texte imprimé et/ou numérique Auteurs : G. WAN, Auteur ; X. KONG, Auteur ; B. SUN, Auteur ; S. YU, Auteur ; Y. TU, Auteur ; J. PARK, Auteur ; C. LANG, Auteur ; M. KOH, Auteur ; Z. WEI, Auteur ; Z. FENG, Auteur ; Y. LIN, Auteur ; J. KONG, Auteur Article en page(s) : p.209-215 Langues : Anglais (eng) Mots-clés : Autism Eye tracking Face Fixation time Machine learning Index. décimale : PER Périodiques Résumé : Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. En ligne : http://dx.doi.org/10.1007/s10803-018-3690-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377
in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.209-215[article] Applying Eye Tracking to Identify Autism Spectrum Disorder in Children [Texte imprimé et/ou numérique] / G. WAN, Auteur ; X. KONG, Auteur ; B. SUN, Auteur ; S. YU, Auteur ; Y. TU, Auteur ; J. PARK, Auteur ; C. LANG, Auteur ; M. KOH, Auteur ; Z. WEI, Auteur ; Z. FENG, Auteur ; Y. LIN, Auteur ; J. KONG, Auteur . - p.209-215.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.209-215
Mots-clés : Autism Eye tracking Face Fixation time Machine learning Index. décimale : PER Périodiques Résumé : Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. En ligne : http://dx.doi.org/10.1007/s10803-018-3690-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377