A Comprehensive Review on Depression Detection using Computer Intelligence

Authors

  • Hema Mahawar M.Tech Scholar, Department of CSE, Radharaman Institute Of Technology & Science, Bhopal, M.P, India
  • Ravi Verma Assistant Professor, Department of CSE, Radharaman Institute Of Technology & Science, Bhopal, M.P, India
  • Chetan Agrawal Assistant Professor, Department of CSE Radharaman, Institute Of Technology & Science, Bhopal, M.P, India

DOI:

https://doi.org/10.24113/ijoscience.v6i7.359

Keywords:

Depression Detection, Facial Features, Facial Emotions

Abstract

The depression that has affected millions of patients and their families in the last decade has been one of the most common diseases of mind. However, almost all methods of medicating anxiety depend on series of questions evaluations and professional judgments of depressive symptoms, which are highly reliant on doctors’ experience and time-consuming. The aim of our research is to create an objective and practical method for detecting depression in adolescents using facial characteristics. The majority of teenagers are wholly unaware that they have been depressed. Some teenagers hide their depression from others, whether they are even aware of it. An automated system is needed to select the teenagers who face depression. Various research projects aimed at identifying depression are explored in this article.

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Published

07/25/2020

How to Cite

Mahawar, H. ., Verma, R. ., & Agrawal, C. . (2020). A Comprehensive Review on Depression Detection using Computer Intelligence. SMART MOVES JOURNAL IJOSCIENCE, 6(7), 36–39. https://doi.org/10.24113/ijoscience.v6i7.359