Computer vision system can help diagnose autism in toddlers

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Autism is estimated to affect more than two million people in the US and tens of millions worldwide, but diagnosing it is notoriously difficult, particularly in young children. Recently, however, University of Minnesota researcher Jordan Hashemi and a team of colleagues developed a computer vision system that automatically analyzes toddlers' movements to detect signs of autism early. The new system starts with video footage of the child in question in an ordinary setting. Focusing in particular on four types of behaviors that can indicate autism — including maintaining asymmetrical body positions and delayed tracking of objects within the child's field…

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