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Towards an automatic early screening system for autism spectrum disorder in toddlers based on eye‑tracking

dc.contributor.authorFernández Lanvin, Daniel 
dc.contributor.authorGonzález Rodríguez, Bernardo Martín 
dc.contributor.authorAndrés Suárez, Javier 
dc.contributor.authorCamero, Raquel
dc.date.accessioned2023-12-13T08:31:38Z
dc.date.available2023-12-13T08:31:38Z
dc.date.issued2023-12-11
dc.identifier.citationMultimedia Tools and Applications (2023); doi:10.1007/s11042-023-17694-8
dc.identifier.issn1380-7501
dc.identifier.urihttps://hdl.handle.net/10651/70462
dc.description.abstractAccording to official estimations, autism spectrum disorder (ASD) affects around 1% of European newborns. The high level of dependency of ASD-affected subjects entails an extremely high social and economic cost. However, early intervention can drastically improve children’s development and thus reduce their dependency. One of the main common characteristics of subjects with ASD is difficulties with social interaction, which determines how they react to certain stimuli. This behavior can be automatically detected by analyzing their gaze. This study explores and evaluates the feasibility of automatic screening for ASD in toddlers under 24 months of age based on this specific behavior. We applied a matched pairs experimental design and a set of test videos, using a set of variables extracted from gaze analysis from toddlers using eye-tracking devices. The different videos try to capture social engagement, social information gathering gaze exchanges, and gaze following. We used the data to make a thorough comparison of machine learning algorithms (nine learning schemes), including some that were used in related prior research, and others that are popular in classification problems. The results show that several of the tested algorithms provided notable performance.spa
dc.description.sponsorshipThis work was partially funded by the Department of Science, Innovation and Universities (Spain) under the National Program for Research, Development, and Innovation (Project RTI2018-099235-B-I00) and by the Fundación Trapote (Ayuntamiento de Gijón)
dc.language.isoengspa
dc.relation.ispartofMultimedia Tools and Applicationsspa
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights© The Author(s) 2023
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleTowards an automatic early screening system for autism spectrum disorder in toddlers based on eye‑trackingspa
dc.typejournal articlespa
dc.identifier.doi10.1007/s11042-023-17694-8
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099235-B-I00/ES/MODELADO DE USUARIO PARA PERSONALIZACION DE INTERFAZ GUIADO POR ANALISIS AUTOMATICO DE PATRONES DE COMPORTAMIENTO/ spa
dc.relation.publisherversionhttps://doi.org/10.1007/s11042-023-17694-8
dc.rights.accessRightsopen accessspa
dc.type.hasVersionVoR


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