SMART MOVES JOURNAL IJOSCIENCE ISSN NO: 2582-4600 VOL.6, ISSUE 7, JULY 2020 Doi: https://doi.org/10.24113/ijoscience.v6i7.359 www.ijoscience.com 36 A Comprehensive Review on Depression Detection using Computer Intelligence Hema Mahawar Ravi Verma Chetan Agrawal M.Tech Scholar Assistant Professor Assistant Professor Department of CSE Department of CSE Department of CSE Radharaman Institute Of Technology & Science Bhopal, M.P, India Radharaman Institute Of Technology & Science Bhopal, M.P, India Radharaman Institute Of Technology & Science Bhopal, M.P, India hemasmahawar@gmail.com ravi.verma0099@gmail.com chetan.agrawal12@gmail.com 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. Keywords: Depression Detection, Facial Features, Facial Emotions 1. INTRODUCTION Depression is a widespread mental issue that impacts over 350 million people globally [1]. Not just the patients but their families will have a bad effect. Depression is said to be the second most important cause of illness by 2020[2] by the World Health Organization. Depression leads to increased risk of drug abuse, financial problems and suicidal behavior. Current WHO forecasts indicate that depression will become the world’s largest cause of disease by 2030[2]. In addition, depression is largely undiagnosed due to the boring lines of diagnostic criteria and under-reporting. The Diagnostic and Statistical Manual of Mental Disorders (DSM) guidelines are used to identify depression, which is then verified by a clinical examination. Patients are administered first-line antidepressants after being diagnosed [3]. The assessment strategies for diagnosing depression, on the other hand, almost entirely depend on patient-reported and clinical symptom severity judgments [3]. Current depression diagnosis approaches have significant drawbacks, including patient denial, low sensitivity, contextual biases, and inaccuracy [4]. Seeking a technique for identifying depression that is objective, precise, and realistic is indeed a task. Nowadays, anxiety is most prevalent amongst teenagers and young adults who are just starting out in their careers. Depression is a significant problem because it has a direct impact on a person’s productivity. It has an effect on adolescent exam success as well as other field trips [4]. Depression affects employees’ performance, as well as their ability to cope with the working pressure that leads to their overall performance being deteriorated and could ultimately lead them to discharge. Depression can lead to a slew of other issues in a person’s life [5]. Others might judge them as cowards or sympathize with them. However, they are oblivious to the fact that they are going through a stage of mental illness in which the individual starts to view himself or herself as a coward and feels uncomfortable in the company of others. Many strategies for overcoming depression have been established over the years. People et al.[3] proposed the treatment of depression through psychotherapy. Clarke et al. [4] created a program called Overcoming Depression on the Internet (ODIN) to help people overcome depression. Gilson et al.[5] have implemented cognitive therapy to help overcome depression. We have many good strategies to fix depression, as previously mentioned. Many of the great approaches and techniques, however, are useless if we don’t understand about whom they should be implemented. The main problem is determining who is depressed. The majority of depressed people find it difficult to accept that they are sad. It’s not that they’re hiding; there are always exceptions; it’s just that they’re unaware of their own frame of mind. Many people tend to mask their feelings while speaking with others, making it difficult to judge others simply by meeting them. When a person is alone, his or her true state of mind is revealed. As a consequence, we need a simple but effective technique for identifying a person’s depression [6-11]. 2. RELATED WORK It’s all about the thoughts of depression. Plutchik [2] identified the following eight basic forms of emotions: 1. The sensation of being afraid or insecure is known as fear. It is normally caused by a sense of danger or hazard. It has the ability to alter one's actions. It's an uncomfortable sensation.