International Journal of Advanced Innovative Technology in Engineering (IJAITE)

---

Facial Expression Recognition Based on Machine Learning Approach: Review

Mr. Vittal Manohar Kharmate, Dr. S. R. Gupta, Prof. Sumedh Ingale

Abstract :

The motion of one or more than one muscle underneath the skin is Facial Expression. These movements play a very important role in conveying the emotional states of individuals to the observer. Human face-to-face communication is important in human interaction. In recent years, different approaches have been put forward for developing methods for fully automated facial expressions analysis that is important for human-computer interaction. In Facial Expression Recognition System, the image is processed to extract such information from it, which can help in recognizing six universal expressions that are neutral, happy, sad, angry, disgust, and surprise. This processing is done in several phases including image acquisition, features extraction, and finally expressions classification. This paper surveys some of the techniques that are used for the purpose of facial expression recognition; a summary of some of the previous work from 2015 to 2021 is given in the tabular form. A list of few challenges in this field is given at the end along with the possible future advancements.

Keywords :

Full Text :

Download PDF

DOI :

Cite this paper :

References :

---