Comparative Study on Mental Stress Detection Using Various Stressors and Classification Techniques

Abstract

Our body's natural safeguarding in an intensified psycho-physical situation is stress. Stress inducing factors are stressors, which may affect a person's physical or mental state due to an extended exposure to various stressors. So, an efficient stress monitoring mechanism is highly essential in this busy daily environment. Stress can be identified as biological signals which can be psychological or physiological signal. In this paper a detailed study of various sources for identifying stress and an efficient way for classifying or detecting this stress by various machine learning and deep learning techniques has performed. Here various stressors, methodologies, outcomes, benefits, limitations for various stress detection techniques are highlighted which can serve as a guide for further investigations.