Fuzzy Logic Based Approach for Automation of Emotion Detection in Misophonia

Abstract

Human being mostly categories into two types, the one who follow distress cycle and other who believe on wellness cycle. Output of distress cycle is decreased productivity, decreased enjoyment and decreased intimacy, whereas output of wellness cycle is increased productivity, increased enjoyment and increased intimacy which is essential for life. Reason of distress could be anything like emotion, disease, environment, family, pain. One of the mostly unexplored areas of cause of distress is misophonia. It is a disorder related to various senses like sound, sight, smell, taste and touch. This disorder is not in DSM-V, underscoring that it is not known by psychiatric and medical communities. We have proposed an automatic fuzzy approach system for identification of intensity of emotions related to various triggers on the basis of age group.