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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MDH39S
Repositorysid.inpe.br/sibgrapi/2016/09.09.13.16
Last Update2016:09.09.13.16.24 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.09.13.16.25
Metadata Last Update2022:05.18.22.21.10 (UTC) administrator
Citation KeyRezendeCastAlme:2016:ApBrSi
TitleAn approach for Brazilian Sign Language (BSL) recognition based on facial expression and k-NN classifier
FormatOn-line
Year2016
Access Date2024, Apr. 27
Number of Files1
Size1633 KiB
2. Context
Author1 Rezende, Tamires Martins
2 Castro, Cristiano Leite de
3 Almeida, Sílvia Grasiella M.
Affiliation1 The Electrical Engineering Graduate Program - Federal University of Minas Gerais - Brazil
2 The Electrical Engineering Graduate Program - Federal University of Minas Gerais - Brazil
3 Department of Industrial Automation - Federal Institute of Minas Gerais - Ouro Preto, Brazil
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 Addressinc.tamires@gmail.com
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)2016-09-09 13:16:25 :: inc.tamires@gmail.com -> 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
KeywordsRGB-D sensor
Brazilian Sign Language
k-NN
Facial expression
AbstractThe automatic recognition of facial expressions is a complex problem that requires the application of Computational Intelligence techniques such as pattern recognition. As shown in this work, this technique may be used to detect changes in physiognomy, thus making it possible to differentiate between signs in BSL (Brazilian Sign Language or LIBRAS in Portuguese). The methodology for automatic recognition in this study involved evaluating the facial expressions for 10 signs (to calm down, to accuse, to annihilate, to love, to gain weight, happiness, slim, lucky, surprise, and angry). Each sign was captured 10 times by an RGB-D sensor. The proposed recognition model was achieved through four steps: (i) detection and clipping of the region of interest (face), (ii) summarization of the video using the concept of maximized diversity, (iii) creation of the feature vector and (iv) sign classification via k-NN (k-Nearest Neighbors). An average accuracy of over 80\% was achieved, revealing the potential of the proposed model.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MDH39S
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MDH39S
Languageen
Target File6.pdf
User Groupinc.tamires@gmail.com
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 4
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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