A Fuzzy Logic Approach in Emotion Detection and Recognition and Formulation of an Odor-Based Emotional Fitness Assistive System

Sudipta Ghosh, Debasish Kundu and Gopal Paul
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Sudipta Ghosh: CIEM, Kolkata, India
Debasish Kundu: ETI, Hoogly, India
Gopal Paul: IIT Kharagpur, Kharagpur, India

International Journal of Synthetic Emotions (IJSE), 2015, vol. 6, issue 2, 14-34

Abstract: This paper aims at a Fuzzy relational approach for similar emotions expressed by different subjects by facial expressions and predefined parameters. Different Facial attributes contribute to a wide variety of emotions under varied circumstances. These same features also vary widely from person to person, introducing uncertainty to the process. Facial features like eye-opening, mouth-opening and length of eye-brow constriction from localized areas from a face are Fuzzified and converted into emotion space by employing relational models. This is dealt with Fuzzy Type-2 logic, which reigns supreme in reducing uncertainty.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jse000:v:6:y:2015:i:2:p:14-34

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