Open AccessA Review on Depression Detection Among Adolescent by Face
Author(s) -
Rajneesh Kumar,
Santosh Kumar Nagar,
Anurag Shrivastava
Publication year - 2020
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v6i1.257
Subject(s) - depression (economics) , face (sociological concept) , psychology , work (physics) , psychiatry , clinical psychology , engineering , mechanical engineering , social science , sociology , economics , macroeconomics
Depression has become one of the most common mental illnesses in the past decade, affecting millions of patients and their families. However, the methods of diagnosing depression almost exclusively rely on questionnaire-based interviews and clinical judgments of symptom severity, which are highly dependent on doctors’ experience and makes it a labor-intensive work. Our study aims to develop an objective and convenient method to assist depression detection using facial features in adolescent. Most of the adolescent are totally unaware that they may be having depression. If at all they are aware of it, some adolescents conceal their depression from everyone. So, an automated system is required that will pick out the adolescents who are dealing with depression. In this paper, different research work focused for detecting depression are discussed.