Journal of Artificial Intelligence and Metaheuristics
Journal DOI
2833-5597ISSN (Online)
Volume 1 , Issue 1 , PP: 35-44, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Louloua M. AL-Saedi 1 * , Methaq Talib Gaata 2 , Mostafa Abotaleb 3 , Hussein Alkattan 4
Doi: https://doi.org/10.54216/JAIM.010104
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.
Facial Expression Recognition , Happiness Degree , Sarcasm Percentage , Fuzzy Inference system. , , ,
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[23] Dr.Bassam Dheyaa / Specialist psychiatrist Rashid hospital
baadheyaa@dha.gov.ae
[24] Dr. Madhea Nsaif Raheem /Etiquete psychology /Baghdad university
Taghreed898@gmail.com
