Abstract:
Extensive attention facial expression recognition (FER) has received recently as facial expressions are considered as the fastest communication medium of any type of information. Facial expression recognition gives a better understanding towards a person’s thoughts or views and analyzing them with the currently trending deep learning methods boosts the accuracy rate drastically compared to the traditional state-of-the-art systems. This article gives a brief about various application fields of FER and publicly available datasets used in FER and reviews the latest research in the field of FER using deep learning. Lastly, it concludes the efficient method among them.