aspg-28-1215-1792155167 20261016125247 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 2022 1 1 Louloua M. AL-Saedi Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia Methaq Talib Gaata Computer Science Department, University of Mustansiriyah, Baghdad, Iraq Mostafa Abotaleb Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia Hussein Alkattan Computer Science Department, University of Mustansiriyah, Baghdad, Iraq Generally, the process of detecting micro expressions takes significant importance because all these expressions reflect the hidden emotions even when the person tried to conceal them. In this paper, a new approach has been proposed to estimate the percentage of sarcasm based on the detected degree of happiness of facial expression using fuzzy inference system. Five regions in a face (right/left brows, right/left eyes, and mouth) are considered to determine some active distances from the detected outline points of these regions. The membership functions in the proposed fuzzy inference system are used as a first step to determine the degree of happiness expression based mainly on the computed distances and then another membership function is used to estimate the percentage of sarcasm according the outcomes of the membership functions in the first step. The proposed approach is validated using some face images which are collected from the SMIC, SAMM, and CAS(ME)2 standard datasets. 2022 35 44 1215 https://creativecommons.org/licenses/by/4.0/ 10.54216/JAIM.010104 https://www.americaspg.com/journal/28/article/1215 https://www.americaspg.com/storage/2751.pdf