Facial emotion recognition methods, datasets and technologies: A literature survey

Abstract

Amidst of the technologies applied to analyze and recognize a facial emotion, there are still clustered challenges that needs to be addressed while building advanced emotion recognition models with more accurate results. This study summarizes the technologies used in the development of various models for facial emotion recognition. Because the advancement in technology is abruptly changing and improving, only the studies for the past two years were included. The studies earlier in the past two years are most likely redundant to the studies prior to it. The study includes discussion of the datasets commonly used by the researchers, the nature of the datasets and its content, and the process of generating the data. Moreover, the highlight of this literature survey is to gather the state-of-the-art technologies and various methods that are applied to dataset for achieving highest possible accuracy rate. However, there are still drawbacks that needs to be addressed.