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An Efficient Method for Automatic Emotion Detection from Facial Expression

Author(s):

Yogesh Yadav Lamture , Dr. D. Y. PATIL INSTITUTE OF ENGINEERING,PIMPRI,PUNE; Prof. B. S. Satpute, Dr. D. Y. PATIL INSTITUTE OF ENGINEERING,PIMPRI,PUNE; Harshada Dhereange, Dr. D. Y. PATIL INSTITUTE OF ENGINEERING,PIMPRI,PUNE; Amal Subash, Dr. D. Y. PATIL INSTITUTE OF ENGINEERING,PIMPRI,PUNE; Mahesh Amte, Dr. D. Y. PATIL INSTITUTE OF ENGINEERING,PIMPRI,PUNE

Keywords:

Frontal Face Detector, Facial Expression, 68 Landmarks, Feature Extraction, DLIB Library

Abstract

The human face plays an important role for automatic recognition of emotion in the field of identification of human emotion and the interaction between human and computer for some real application like driver state surveillance, personalized learning, health monitoring, automatic music player, etc. In this article we have tried to design an automated framework for emotion detection using facial expression. Facial expression recognition system require to overcome the human face having multiple variability such as color, orientation, expression, posture, texture and so on. Facial Expression Recognition is challenging problem up till now because of many reasons, moreover, it consists of three sub challenging tasks face detection, facial feature extraction and expression classification. Frontal face detector algorithm is used to detect the face from the captured image. 68 landmark using DLIB libraries are used for feature extraction of the face. Emotion detection is done by calculating the Euclidian distance between the feature points. Emotions are classified into seven major categories viz. joy, sorrow, surprise, disgust, fear, anger, neutral. Here, we are detecting 4 emotions, viz. happy, sad, surprise and neutral.

Other Details

Paper ID: IJSRDV6I40174
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 198-201

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