Software developed by researchers at the U.K.'s University of Bristol and Manchester Metropolitan University can identify complex hidden emotions by mapping facial features and evaluating the intensities of multiple facial expressions.
The researchers used data from participants recorded by headcams worn by their infants.
The participants' facial expressions in the videos were analyzed by automated facial coding software and human coders; the researchers assessed how often the software detected faces in the videos and how often the software and humans were in agreement.
Machine learning then was used to predict human judgments of parent facial expressions based on the decisions made by the computer.
University of Bristol's Romana Burgess said, "Deploying automated facial analysis in the parents' home environment could change how we detect early signs of mood or mental health disorders, such as postnatal depression."
From University of Bristol News (U.K.)
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