Call For Paper Volume:7 Issue:5 May'2020 |


Publication Date : 31/03/2015

Author(s) :

Poonam D.Bagal , Poonam M.Ghadage , Shruti S.Shinde , Ashvini S.Zadbuke.

Volume/Issue :
Volume 2
Issue 3
(03 - 2015)

Abstract :

The objective of this paper is to apply Support Vector Machines to the problem of classifying emotion on images of human faces. We use facial expressions not only to express our own emotions, but also to provide important communicative during social interaction, such as our own level of interest; hence Facial expression is a major modality in human communication. In this paper, we propose to implement a real time approach to emotion recognition through facial expression. The proposed facial expression recognition system consists of Face Localization, Facial feature extraction, Classifier Training and Facial Expression Classification. We propose to use Support Vector Machines (SVM) method for classification stage. The system is capable of processing images rapidly and achieving high detection and recognition rates. The first is the person's face detection used as input for the second stage which is the recognition of the face of the person interacting and the third one is the tracking of this face along the time. The detection technique is based on SVM classifiers.

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March 25, 2015