Identifying Autism Gaze Patterns in Five-Second Data Records
Pedro Lencastre,
Maryam Lotfigolian,
Pedro G. Lind
Abstract:One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This challenge motivates the investigation of possible classifiers of ASD that do not need such long data sets. In this paper, we use eye-tracking data sets covering only 5 s and introduce one metric able to distinguish between ASD and typically developed (TD) gaze patterns based on such short tim… Show more
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