Facial Expression Recognition: Deep Survey, Progression and Future Perspective

Emotions are a big part of human life. Humans experience a variety of emotions on a daily basis, and each emotion has a unique impact on how the face moves. As a consequence, vast research has been conducted in the recent years for improvement in facial expression recognition (FER) system. However, a deep survey on progression of research work in FER systems is still lacking. The study primarily emphasizes several emotional classifications and presents an in depth survey of on progression made in FER systems. The literature survey on this topic reveals that significant work has been done on images gathered in a controlled environment to study facial expression recognition (FER). However, a few already-developed models produced positive outcomes for a real-world environment. Hence, the developed models are not appropriate. Overall, it is expected that the study may guide researchers for the future and serve as an inspiration to them for bringing appreciable changes in the discipline of facial expression recognition. Finally, the deep survey is concluded with the future scope of the research as well as the area of applications in which this technology can play a vital role.