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		<identifier>8JMKD3MGPAW/3S4SNFL</identifier>
		<repository>sid.inpe.br/sibgrapi/2018/10.26.18.48</repository>
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		<citationkey>CejnogJrCampElui:2018:InHaTh</citationkey>
		<title>Injured hand therapy evaluation using hand tracking</title>
		<format>On-line</format>
		<year>2018</year>
		<date>Oct. 29 - Nov. 1, 2018</date>
		<numberoffiles>1</numberoffiles>
		<size>1761 KiB</size>
		<author>Cejnog, Luciano Walenty Xavier,</author>
		<author>Jr. , Roberto Marcondes Cesar,</author>
		<author>Campos, Teófilo de,</author>
		<author>Elui, Valéria Meirelles Carril,</author>
		<affiliation>Departamento de Ciência da Computação, IME/USP</affiliation>
		<affiliation>Departamento de Ciência da Computação, IME/USP</affiliation>
		<affiliation>Departamento de Ciência da Computação, Universidade de Brasília</affiliation>
		<affiliation>Departamento de Terapia Ocupacional, FMUSP Ribeirão Preto</affiliation>
		<editor>Ross, Arun,</editor>
		<editor>Gastal, Eduardo S. L.,</editor>
		<editor>Jorge, Joaquim A.,</editor>
		<editor>Queiroz, Ricardo L. de,</editor>
		<editor>Minetto, Rodrigo,</editor>
		<editor>Sarkar, Sudeep,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Oliveira, Manuel M.,</editor>
		<editor>Arbeláez, Pablo,</editor>
		<editor>Mery, Domingo,</editor>
		<editor>Oliveira, Maria Cristina Ferreira de,</editor>
		<editor>Spina, Thiago Vallin,</editor>
		<editor>Mendes, Caroline Mazetto,</editor>
		<editor>Costa, Henrique Sérgio Gutierrez,</editor>
		<editor>Mejail, Marta Estela,</editor>
		<editor>Geus, Klaus de,</editor>
		<editor>Scheer, Sergio,</editor>
		<e-mailaddress>cejnog@ime.usp.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 31 (SIBGRAPI)</conferencename>
		<conferencelocation>Foz do Iguaçu, PR, Brazil</conferencelocation>
		<booktitle>Proceedings</booktitle>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<documentstage>not transferred</documentstage>
		<transferableflag>1</transferableflag>
		<tertiarytype>Work in Progress</tertiarytype>
		<keywords>hand tracking, hand pose estimation, computer vision, depth images.</keywords>
		<abstract>Hand 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.</abstract>
		<language>en</language>
		<targetfile>SIBGRAPI_WIP_2018(3).pdf</targetfile>
		<usergroup>cejnog@ime.usp.br</usergroup>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2018/10.26.18.48</url>
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