Researchers in Georgia have developed two new tools designed to better understand and detect autism, including a system that uses glasses to track where children look and facial-analysis software to identify when a child makes eye contact with the person wearing the glasses.
That device, developed at Georgia Tech’s Center for Behavior Imaging, uses a commercially available pair of glasses that records the focal point of their wearer’s gaze. In a study at the school’s Child Study Lab, researchers took video of a child captured by a front-facing camera on the glasses, which were worn by an adult interacting with the child. The video was then processed using facial-recognition software. The result is a system able to detect eye contact in an interaction with a 22-month-old with 80 percent accuracy, the university said. Here’s a video of what this looks like.