REDE - Detecting human emotions using CNN and RASA

Abstract

The involvement of technology in medical health has already been a great success to a large extent; it is used to measure depression and initiate the advancement into the field of mental health toward therapy and counselling. According to the WHO, good health is not only about zero sicknesses or disability but is also about physical well-being, sound mental state and social and spiritual welfare. The technological implementation of artificial intelligence (AI) in mental health has vast potential for personalizing treatment selection, prognostication, and relapse monitoring. Moreover, it provides remedies to reduce stress and anxiety for situations that do not require immediate and necessary medical intrusion and emergency contacts and services in case of a severe condition. Particularly, to discern depressive behaviours, multi-modal data is used to examine and exploit a large variety of parameters. Unlike the usual method of having an observational study that is done by taking surveys or questionnaires, the AI model helps us to understand and explore the inconspicuous and reliable detection of depressive symptoms obtained from visual and vocal features of the user. In today's time, vocalizing one's concerns regarding their mental health must be normalized. As humans, it is normal to feel different emotions at once. The application is free and anonymous to make the users feel empowered and safe in seeking treatment. Mental health is all about how an individual thinks, feels and copes up with events in their life.