Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6696
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dc.contributor.authorMohamad Rizon, Mohamed Juhari-
dc.contributor.authorMuthukaruppan, Karthigayan-
dc.contributor.authorSazali, Yaacob-
dc.contributor.authorNagarajan, R.-
dc.date.accessioned2009-08-06T14:02:02Z-
dc.date.available2009-08-06T14:02:02Z-
dc.date.issued2007-
dc.identifier.citationp.140-144en_US
dc.identifier.isbn0-7695-2901-1-
dc.identifier.issn4271734-
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4271734-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6696-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineering (IEEE)en_US
dc.relation.ispartofseriesProceedings of Geometric Modelling and Imaging (GMAI 2007)en_US
dc.subjectFace emotion recognitionen_US
dc.subjectFeature extractionen_US
dc.subjectGenetic algorithmsen_US
dc.subjectIrregular ellipse fitness functionen_US
dc.subjectEmotion recognitionen_US
dc.subjectFace recognitionen_US
dc.subjectDetectorsen_US
dc.titleJapanese face emotions classification using lip featuresen_US
dc.typeArticleen_US
Appears in Collections:School of Mechatronic Engineering (Articles)
Sazali Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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