Various Aspects and Progression of Group-Based Emotion Recognition Methods: A Review

Abstract

The technological gap between humans and machines has shrunk with the development of artificial intelligence and in many technological developments human emotion interfacing is in demand. Traditionally, emotions have been treated as an individual-level phenomenon. However, the recent advancement in the technology more generously looking at emotion recognition as an asset which can be useful for developing many advance techniques in variety of fields and for many applications. It is important fact that facial expressions are the major contributors to estimate overall emotion. Therefore, this review explains the face emotion recognition (FER) systems and focuses on the recent developments in group-based emotion recognition (GER). The key point in FER or GER system is, emotion-specified expressions have corresponding prototypic facial expressions. As the FER systems improved gradually, the advancement in the technology revealed the importance of GER. This review focus on all such developments and viewpoints which are extremely important to consider when the topic of emotion recognition and related technology development is under discussion. In essence this review is useful when background knowledge is to be gained for further development in this topic. The progression in this field is summarized to develop understanding of the different approaches which are used for the advancement of various GER systems.