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

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  • Sudipta Ghosh

    (CIEM, Kolkata, India)

  • Debasish Kundu

    (ETI, Hoogly, India)

  • Gopal Paul

    (IIT Kharagpur, Kharagpur, India)

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.

Suggested Citation

  • Sudipta Ghosh & Debasish Kundu & Gopal Paul, 2015. "A Fuzzy Logic Approach in Emotion Detection and Recognition and Formulation of an Odor-Based Emotional Fitness Assistive System," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 6(2), pages 14-34, July.
    • Handle: RePEc:igg:jse000:v:6:y:2015:i:2:p:14-34
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