Journals Proceedings

Abstract

Emotion recognition through facial expression detection is one of the important fields of study for human-computer interaction. To detect a facial Expression one system need to come across different variability’s of human faces such as color, posture, expression, orientation, etc. To detect the expression of a human face first it is required to detect the different facial features such as the movements of eye, nose, lips, etc. and then classify them comparing with trained data using a suitable classifier for expression recognition. This paper provides a survey report of implementation of different techniques for expression recognition along with their advantages and drawbacks which will help in further development and improvement of the system.