The distance from the 'center' of the MDS plane, which reflected the degree of deviation from the standard temporo-spatial gaze pattern, efficiently distinguished control participants from those with autism in both children (87%) and adults (75%). The objective for the researchers at Osaka University was to develop a quantitative scale for identifying individuals with autism based on gaze measurement data that could be applied to adults, as well as children. This new technology has made eye tracking infants and young children as easy as testing adult participants. In recent years, unobtrusive eye tracking systems without a chin rest or headgear have become increasingly accurate. ![]() Gaze analysis can be used as an autism diagnosis system. Consequently, there is a demand for a system that can be used by non-experts with an accuracy comparable to that of someone trained in this disorder. This means an accurate diagnosis of autism calls for an expert in the field, but there are too few of these to meet the increasing needs of the population. The diagnosis depends on correct judgments as to whether each symptom listed in the diagnostic criteria is met or not. The prevalence of autism, a developmental disorder characterized by impairments in social interaction and communication, has increased tenfold in the last 30 years.
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