Computer vision system can help diagnose autism in toddlers
We’re constantly looking for innovative ways to improve the Springwise experience, and so we’re now introducing BeeLine Reader, a new technology that helps you read more quickly and efficiently. To learn more about BeeLine Reader, an award-winning startup funded by Intel Capital, see BeeLineReader.com.
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…
Spotted another good idea???
Join our network and earn rewards