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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S4SNFL
Repositorysid.inpe.br/sibgrapi/2018/10.26.18.48
Last Update2018:10.26.18.48.06 (UTC) cejnog@ime.usp.br
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.26.18.48.06
Metadata Last Update2022:05.18.22.18.35 (UTC) administrator
Citation KeyCejnogJrCampElui:2018:InHaTh
TitleInjured hand therapy evaluation using hand tracking
FormatOn-line
Year2018
Access Date2024, May 02
Number of Files1
Size1761 KiB
2. Context
Author1 Cejnog, Luciano Walenty Xavier
2 Jr. , Roberto Marcondes Cesar
3 Campos, Teófilo de
4 Elui, Valéria Meirelles Carril
Affiliation1 Departamento de Ciência da Computação, IME/USP
2 Departamento de Ciência da Computação, IME/USP
3 Departamento de Ciência da Computação, Universidade de Brasília
4 Departamento de Terapia Ocupacional, FMUSP Ribeirão Preto
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addresscejnog@ime.usp.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2018-10-26 18:48:06 :: cejnog@ime.usp.br -> administrator ::
2022-05-18 22:18:35 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordshand tracking
hand pose estimation
computer vision
depth images
AbstractHand tracking is a challenging problem in computer vision that has recently gained relevance with the development of cheap consumer-level depth cameras and virtual reality devices. The objective is to identify a hand model in a scene and track the model accurately in a sequence of frames. The main proposal of this project is the development of a framework for hand tracking and gesture analysis, using a 3D model able to express different patterns of hand pose. Methods for data acquisition, learning model parameters, hand tracking/detection in video sequences and movement analysis will be developed. Here we describe the formation of the dataset and the first tests with hand pose estimation methods. Future steps include the development of hand detection, pose estimation and tracking methods based on state-of-art, as well as the assessment of movement quantities using the joint angles from the skeletons estimated by the pose estimation methods.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2018 > Injured hand therapy...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S4SNFL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S4SNFL
Languageen
Target FileSIBGRAPI_WIP_2018(3).pdf
User Groupcejnog@ime.usp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 12
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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