Emotion recognition platforms are now available that use neural networks and other machine learning algorithms to analyze and measure the facial expressions of subjects appearing in photos and video in order to determine their emotional state. Such analysis may take place on large collections of photo and video files residing in databases. It can also be performed in near real-time on images captured live — for example, for security scenarios or in-store retail applications involving shopper response measurement.
Not a member? Gain Access to the Cutter Experts today — register now to read select open-access articles.
Member/Guest loginForgot your password?