A Review on Depression Detection Among Adolescent by Face
Keywords:Depression detection, Facial Features, Facial Emotions
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.
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Copyright (c) 2020 Puspad Kumar Sharma, Nitesh Gupta, Anurag Shrivastava
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