文章基本信息

标题：Fuzzy Logic Based Approach for Automation of Emotion Detection in Misophonia
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作者：Nilima Salankar ; Neelu Ahuja ; Sandeep Chaurasia 等
期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2017
卷号：9
期号：1
页码：37
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Human being mostly categories into two types, the one who follow distress cycle and other who believe onwellness cycle. Output of distress cycle is decreased productivity, decreased enjoyment and decreasedintimacy, whereas output of wellness cycle is increased productivity, increased enjoyment and increasedintimacy 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 adisorder 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 automaticfuzzy approach system for identification of intensity of emotions related to various triggers on the basis ofage group
关键词：Misophonia;Emotion;Misophonia Activation Scale;Trigger