Real-life facial expression recognition systems: A review

Abstract

Human to human communication system requires facial expressions which are the set of symbols. This has a great importance. For human computer interaction, a robust and adaptable facial expression recognition (FER) system is facilitated. Earlier, FER systems for recognition facial expressions have been developed which understand the real-time problems. Earlier systems were developed to adopt the discrete states emotion model to understand the FER system for expressions. This paper focuses on real-life challenges related with FER systems.