Open AccessFinding Facial Expression Patterns on Videos based on Smile and Eyes-Open Confidence Values
Author(s) -
Hadi Setiawan,
Asep K. Supriatna,
Faishal Wahiduddin,
Wilis Srisayekti,
Achmad Djunaidi,
Efi Fitriana,
Aceng Abdullah,
Dian Ekawati
Publication year - 2021
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2021.12503
Subject(s) - computer science , facial expression , cluster analysis , preprocessor , expression (computer science) , artificial intelligence , heuristic , facial expression recognition , computer vision , pattern recognition (psychology) , speech recognition , facial recognition system , programming language
Facial expression recognition is one of the types of non-verbal communication that is not only commons for human but also plays an essential role in everyday lives. The development of science and technology allows the machine to automatically detect human facial expressions based on images and videos. Numerous facial expression detection methods have been proposed in the literature. This paper presents a method to find three basic facial expressions (neutral, happy, and angry) from two parameter values: smile and eyes-open. The analysis involves a preprocessing step using a combination of pre-designed proprietary algorithm and Luxand library. Firstly, the parameters were mapped into two-dimensional space and then grouped into three clusters using K-means, a popular heuristic clustering method. Secondly, more than 50,000 frames for each video were experimented using the proprietary research data. The result shows that the proposed method successfully performed a simple video analysis of facial expressions.