decades of scientific research have been conducted developing and evaluating methods for automated emotion recognition. there is now an extensive literature proposing and evaluating hundreds of different kinds of methods, leveraging techniques from multiple areas, such as signal processing, machine learning, computer vision, and speech processing. different methodologies and techniques may be employed to interpret emotion such as bayesian networks.