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Open access Oct 2026

Exploring ASD Identification Using Different Types of Eye-Tracking Features

Eye tracking offers a non-invasive way of examining social visual attention in children and may support the objective identification of autism spectrum disorder (ASD). However, small-sample studies are often affected by individual differences, inconsistent feature selection, and limited integration of different gaze re...

Kun Zhang, Shuo Zhang, Jun-Ling Kong et al. · 0 citations
Open access Aug 2026

Participant-Independent Classification of Autism-Related Visual Attention Patterns from Eye-Tracking Scanpath Images Using a Global–Local Fusion Network

Children with autism spectrum disorder (ASD) often exhibit atypical patterns of visual attention allocation and social-cue processing. Eye-tracking scanpath (ETSP) retains information about fixation points, saccade paths and their temporal changes in the form of images, providing an intuitive and computable data repres...

Kun Zhang, Jun-Ling Kong, Jun-Hui Zhang et al. · 0 citations

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