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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MDKBQP
Repositorysid.inpe.br/sibgrapi/2016/09.10.01.56
Last Update2016:09.10.01.56.17 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.10.01.56.17
Metadata Last Update2022:05.18.22.21.10 (UTC) administrator
Citation KeyPaivaCostMart:2016:SuMeCl
TitleSupervised Methods for Classifying Facial Emotions
FormatOn-line
Year2016
Access Date2024, Apr. 28
Number of Files1
Size351 KiB
2. Context
Author1 Paiva, Francisco Aulísio dos Santos
2 Costa, Paula Dornhofer Paro
3 De Martino, José Mario
Affiliation1 Dept. of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas (Unicamp)
2 Dept. of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas (Unicamp)
3 Dept. of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas (Unicamp)
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresspaula@fee.unicamp.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeFace Processing Application Paper
History (UTC)2016-09-10 01:56:17 :: paula@fee.unicamp.br -> administrator ::
2022-05-18 22:21:10 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsClassification
emotions
facial expressions
AbstractThis paper presents a comparison between the K-NN (K-Nearest Neighbors) and SVM (Support Vector Machine) methods for classifying emotions. The database contains a set of 568 images of faces expressing 22 emotions. Classification is carried out in such a way as to classifying these 22 emotions as well as two other sets of categories, namely valence (positive and negative emotions) and the so-called six basic emotions (joy, sadness, fear, surprise, disgust, anger). Different sets of features were tested (statistics of histograms of regions of interest - mouth and eyes - and distances between characteristic points on the face) as well as different configurations of input parameters for training the classifiers in order to achieve the best performance. The results of the three experiments reveal accuracy values ranging from 79% to 90% for the K-.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Supervised Methods for...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MDKBQP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MDKBQP
Languageen
Target File2016_SIBGRAPI_WorkshopFace_CR.pdf
User Grouppaula@fee.unicamp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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