Minds at Ease

Abstract

Depression, stress, anxiety, or other mental illnesses are crucial problems today in this society. Because of these problems, anybody can lose interest in general routine activities and attempt suicide. That's why it is a very serious problem. Nobody wants to discuss with doctors or anybody else their personal problems that are the major reasons of these issues. So, there is a need for an automated system for different age groups that can help in detecting these types of problems. No studies have been proposed in this regard to detect these types of problems. Here in the current study, the authors are carrying out analysis on the different artificial intelligence (AI) and diverse machine leaning techniques being used to detect depression, anxiety, and other different problems related to it. This study performs analysis based on emotions, facial expressions, text sent on social media and moods of individual. This chapter surveys the mental health monitoring using sensor data and machine learning techniques.