Features extracted from image content and viewing behaviour support an early diagnosis of Autism Spectrum Disorder.
In this paper we present an approach based on the combined use of machine learning and eye tracking information.
Oct 22, 2024 · In this paper we present an approach based on the combined use of machine learning and eye tracking information. More specifically, features are ...
Results from neuroimaging studies indicate that atypical visual perception in ASD may be influenced by attention or higher order cognitive mechanisms.
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Sep 11, 2023 · This study aims at developing a model to assist in the diagnosis of ASD using gaze data when static images are presented to the subjects.
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Aug 3, 2024 · This review paper intends to focus on all such research contributions and bring out a new methodology for early detection of ASD in childrens.
This study used eye-tracking to examine visual attention to faces and objects in adolescents with autism spectrum disorder (ASD) and typical peers.
Jan 9, 2024 · We used a data-driven method to delineate the developmental change in visual exploration of social interaction over childhood years in autism.
Sep 14, 2023 · The current study aimed to investigate whether their eye movement patterns in relation to cartoon characters or real people could be useful in identifying ASD ...
The eye-tracking technique provides useful information about children's visual behaviour for early and accurate diagnosis. It works by scanning the paths of the ...