Facial Action Units Analysis using Rule-Based Algorithm

Hamimah, Ujir and Irwandi, Hipiny and Dayang Nurfatimah, Awang Iskandar (2018) Facial Action Units Analysis using Rule-Based Algorithm. International Journal of Engineering & Technology, 7 (3.20). pp. 284-290. ISSN 2227-524X)

[img] PDF
Facial_Action_Units_Analysis_using_Rule-Based_Algo.pdf

Download (657kB)
Official URL: https://www.sciencepubco.com/index.php/ijet/articl...

Abstract

Most works in quantifying facial deformation are based on action units (AUs) provided by the Facial Action Coding System (FACS) which describes facial expressions in terms of forty-six component movements. AU corresponds to the movements of individual facial muscles. This paper presents a rule based approach to classify the AU which depends on certain facial features. This work only covers deformation of facial features based on posed Happy and the Sad expression obtained from the BU-4DFE database. Different studies refer to different combination of AUs that form Happy and Sad expression. According to the FACS rules lined in this work, an AU has more than one facial property that need to be observed. The intensity comparison and analysis on the AUs involved in Sad and Happy expression are presented. Additionally, dynamic analysis for AUs is studied to determine the temporal segment of expressions, i.e. duration of onset, apex and offset time. Our findings show that AU15, for sad expression, and AU12, for happy expression, show facial features deformation consistency for all properties during the expression period. However for AU1 and AU4, their properties’ intensity is different during the expression period.

Item Type: Article
Uncontrolled Keywords: facial action units; temporal analysis, facial expressions, dynamic analysis.
Subjects: Q Science > QA Mathematics
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 13 Jun 2025 06:37
Last Modified: 13 Jun 2025 06:37
URI: http://ir.unimas.my/id/eprint/48446

Actions (For repository members only: login required)

View Item View Item