Open AccessMood Sensing using Facial Landmarks
Author(s) -
Kuppala Sushmanth Sai,
Yaramala Srinath,
P. Sabitha,
Bejawada Venkatesh,
Raghavendran
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e1002.0785s319
Subject(s) - facial expression , computer science , classifier (uml) , support vector machine , mood , artificial intelligence , face (sociological concept) , feeling , nonverbal communication , computer vision , speech recognition , psychology , communication , social psychology , linguistics , philosophy
Communication plays a pivotal role in every person’s life.There are various types of communications in which some are verbal and some are non-verbal. Expressions on a person’s face are a type of non-verbal communication.Expressions on the face can be used to define how the person is feeling, recognizing them helps to enhance the human-machine interaction.Thus we propose a system that is un-affected by the illumination changes or the light changes. Expressions on the human face can be computed by using CLM,constrained local models inserts a dense model to a new input image to get the emotions stats .SVM classifier is used to distinguish the input image into different emotion categories. Results showed a remarkable increase in efficiency and performance.Change in lighting conditions will have a very little effect on the efficiency of the system.