@InProceedings{PrettoManSilLopPin:2007:AuReLi,
author = "Pretto, Fabricio and Manssour, Isabel H. and Silva, Emerson
Rodrigues da and Lopes, Maria Helena Itaqui and Pinho, Marcio
Sarroglia",
affiliation = "{Faculdade de Inform{\'a}tica - PUCRS} and {Faculdade de
Inform{\'a}tica - PUCRS} and {Hospital S{\~a}o Lucas - PUCRS}
and {Faculdade de Medicina - PUCRS} and {Faculdade de
Inform{\'a}tica - PUCRS}",
title = "Augmented Reality for Life Support Training",
booktitle = "Proceedings...",
year = "2007",
editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Medical Imaging and Visualization, Visual Learning,
Applications.",
abstract = "The area of Medical Qualification in Life Support training is
being constantly improved. However, many problems are identified
in the training process, such as the lack of realism in the
exercises and the low student involvement. In order to qualify the
learning process, the ARLIST project (Augmented Reality for Life
Support Training) is being developed to add computational
resources as sound and images, in the manikins used in the
training courses. Through Augmented Reality techniques, the use of
OpenGL and some computational resources (e.g. projector ad video
camera), it is possible to build an application that defines the
images and sounds that should appear in accordance to the patient
clinical state. This ongoing work is being here described.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/Rv6Ma",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/Rv6Ma",
targetfile = "33900-PosterFinal.pdf",
urlaccessdate = "2024, Dec. 02"
}