Algorithm sharpens facial features for better emotion detection

New research introduces a method to improve the accuracy and speed of dynamic emotion recognition using a convolutional neural network (CNN) to analyze faces. The work undertaken by Lanbo Xu of Northeastern University in Shenyang, China, could have applications for mental health, human-computer interaction, security, and other areas.