Japanese face emotions classification using lip features

Link to publisher's homepage at http://ieeexplore.ieee.org

Saved in:
Bibliographic Details
Main Authors: Mohamad Rizon, Mohamed Juhari, Muthukaruppan, Karthigayan, Sazali, Yaacob, Nagarajan, R.
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6696
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-6696
record_format dspace
spelling my.unimap-66962010-11-23T06:34:10Z Japanese face emotions classification using lip features Mohamad Rizon, Mohamed Juhari Muthukaruppan, Karthigayan Sazali, Yaacob Nagarajan, R. Face emotion recognition Feature extraction Genetic algorithms Irregular ellipse fitness function Emotion recognition Face recognition Detectors Link to publisher's homepage at http://ieeexplore.ieee.org In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted emotions are considered for classifications. Lip is usually considered as one of the features for recognizing the emotion. In this work, three feature extraction methods are proposed and their respective performances are compared for determining the feature of the lips. The method which is fastest in extracting lip features is adopted in this study. Observation of various emotions of the subject lead to unique characteristic of lips. GA is adopted to optimize such irregular ellipse characteristics of the lip features in each emotion. That is, the top portion of lip configuration is a part of one ellipse and the bottom of different ellipse. Two ellipse based fitness equations are proposed for the lip configuration and relevant parameters that define the emotion. This has given reasonably successful emotion classifications for Japanese subject. 2009-08-06T14:02:02Z 2009-08-06T14:02:02Z 2007 Article p.140-144 0-7695-2901-1 4271734 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4271734 http://hdl.handle.net/123456789/6696 en Proceedings of Geometric Modelling and Imaging (GMAI 2007) Institute of Electrical and Electronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Face emotion recognition
Feature extraction
Genetic algorithms
Irregular ellipse fitness function
Emotion recognition
Face recognition
Detectors
spellingShingle Face emotion recognition
Feature extraction
Genetic algorithms
Irregular ellipse fitness function
Emotion recognition
Face recognition
Detectors
Mohamad Rizon, Mohamed Juhari
Muthukaruppan, Karthigayan
Sazali, Yaacob
Nagarajan, R.
Japanese face emotions classification using lip features
description Link to publisher's homepage at http://ieeexplore.ieee.org
format Article
author Mohamad Rizon, Mohamed Juhari
Muthukaruppan, Karthigayan
Sazali, Yaacob
Nagarajan, R.
author_facet Mohamad Rizon, Mohamed Juhari
Muthukaruppan, Karthigayan
Sazali, Yaacob
Nagarajan, R.
author_sort Mohamad Rizon, Mohamed Juhari
title Japanese face emotions classification using lip features
title_short Japanese face emotions classification using lip features
title_full Japanese face emotions classification using lip features
title_fullStr Japanese face emotions classification using lip features
title_full_unstemmed Japanese face emotions classification using lip features
title_sort japanese face emotions classification using lip features
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6696
_version_ 1643788597735718912
score 13.214268