1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3MDH39S |
Repository | sid.inpe.br/sibgrapi/2016/09.09.13.16 |
Last Update | 2016:09.09.13.16.24 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2016/09.09.13.16.25 |
Metadata Last Update | 2022:05.18.22.21.10 (UTC) administrator |
Citation Key | RezendeCastAlme:2016:ApBrSi |
Title | An approach for Brazilian Sign Language (BSL) recognition based on facial expression and k-NN classifier |
Format | On-line |
Year | 2016 |
Access Date | 2024, Apr. 27 |
Number of Files | 1 |
Size | 1633 KiB |
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2. Context | |
Author | 1 Rezende, Tamires Martins 2 Castro, Cristiano Leite de 3 Almeida, Sílvia Grasiella M. |
Affiliation | 1 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 |
Editor | Aliaga, 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 Address | inc.tamires@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 29 (SIBGRAPI) |
Conference Location | São José dos Campos, SP, Brazil |
Date | 4-7 Oct. 2016 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Face Processing Application Paper |
History (UTC) | 2016-09-09 13:16:25 :: inc.tamires@gmail.com -> administrator :: 2022-05-18 22:21:10 :: administrator -> :: 2016 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | RGB-D sensor Brazilian Sign Language k-NN Facial expression |
Abstract | The 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. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2016 > An approach for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3MDH39S |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3MDH39S |
Language | en |
Target File | 6.pdf |
User Group | inc.tamires@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3M2D4LP |
Citing Item List | sid.inpe.br/sibgrapi/2016/07.02.23.50 4 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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