@InProceedings{CejnogJrCampElui:2018:InHaTh,
author = "Cejnog, Luciano Walenty Xavier and Jr. , Roberto Marcondes Cesar
and Campos, Te{\'o}filo de and Elui, Val{\'e}ria Meirelles
Carril",
affiliation = "Departamento de Ci{\^e}ncia da Computa{\c{c}}{\~a}o, IME/USP
and Departamento de Ci{\^e}ncia da Computa{\c{c}}{\~a}o,
IME/USP and Departamento de Ci{\^e}ncia da
Computa{\c{c}}{\~a}o, Universidade de Bras{\'{\i}}lia and
Departamento de Terapia Ocupacional, FMUSP Ribeir{\~a}o Preto",
title = "Injured hand therapy evaluation using hand tracking",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "hand tracking, hand pose estimation, computer vision, depth
images.",
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.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "en",
ibi = "8JMKD3MGPAW/3S4SNFL",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S4SNFL",
targetfile = "SIBGRAPI_WIP_2018(3).pdf",
urlaccessdate = "2024, May 02"
}