A Fuzzy Reasoning Model for Recognition of Facial Expressions

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1. Verfasser: Oleg Starostenko
Format: Artículo científico
Sprache:en
Veröffentlicht: Instituto Politécnico Nacional 2011
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author Oleg Starostenko
author_facet Oleg Starostenko
contents A Fuzzy Reasoning Model for Recognition of Facial Expressions Oleg Starostenko Renan Contreras Vicente Alarcón Aquino Leticia Flores Pulido Jorge Rodríguez Asomoza Oleg Sergiyenko Vira Tyrsa Computación rules knowledge based framework emotion interpretation based fuzzy classifier In this paper we present a fuzzy reasoning model and a designed system for Recognition of Facial Expressions, which can measure and recognize the intensity of basic or non-prototypical emotions. The proposed model operates with encoded facial deformations described in terms of either Ekman´s Action Units (AUs) or Facial Animation Parameters (FAPs) of MPEG-4 standard and provides recognition of facial expression using a knowledge base implemented on knowledge acquisition and ontology editor Protégé. It allows modeling of facial features obtained from geometric parameters coded by AUs - FAPs and from a set of rules required for classification of measured expressions. This paper also presents a designed framework for fuzzyfication of input variables of a fuzzy classifier based on statistical analysis of emotions expressed in video records of standard Cohn-Kanade¿s and Pantic´s MMI face databases. The proposed system designed according to developed model has been tested in order to evaluate its capability for detection, indexing, classifying, and interpretation of facial expressions. 2011 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61520938004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.15
format Artículo científico
id redalyc_61520938004
institution Redalyc
language en
publishDate 2011
publisher Instituto Politécnico Nacional
spellingShingle A Fuzzy Reasoning Model for Recognition of Facial Expressions
Oleg Starostenko
Computación
rules
knowledge
based framework
emotion interpretation
based fuzzy classifier
A Fuzzy Reasoning Model for Recognition of Facial Expressions Oleg Starostenko Renan Contreras Vicente Alarcón Aquino Leticia Flores Pulido Jorge Rodríguez Asomoza Oleg Sergiyenko Vira Tyrsa Computación rules knowledge based framework emotion interpretation based fuzzy classifier In this paper we present a fuzzy reasoning model and a designed system for Recognition of Facial Expressions, which can measure and recognize the intensity of basic or non-prototypical emotions. The proposed model operates with encoded facial deformations described in terms of either Ekman´s Action Units (AUs) or Facial Animation Parameters (FAPs) of MPEG-4 standard and provides recognition of facial expression using a knowledge base implemented on knowledge acquisition and ontology editor Protégé. It allows modeling of facial features obtained from geometric parameters coded by AUs - FAPs and from a set of rules required for classification of measured expressions. This paper also presents a designed framework for fuzzyfication of input variables of a fuzzy classifier based on statistical analysis of emotions expressed in video records of standard Cohn-Kanade¿s and Pantic´s MMI face databases. The proposed system designed according to developed model has been tested in order to evaluate its capability for detection, indexing, classifying, and interpretation of facial expressions. 2011 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61520938004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.15
title A Fuzzy Reasoning Model for Recognition of Facial Expressions
topic Computación
rules
knowledge
based framework
emotion interpretation
based fuzzy classifier
url https://www.redalyc.org/articulo.oa?id=61520938004