Distributed Training System with High-Resolution Deformable Virtual Models

Felix G. Hamza-Lup; Anand Santhanam; Cali Fidopiastis; Jannick P. Rolland

doi:10.1145/1167350.1167430

Distributed Training System with High-Resolution Deformable Virtual Models

Felix G. Hamza-Lup, Anand Santhanam, Cali Fidopiastis, Jannick P. Rolland

Computer Science

Research output: Contribution to book or proceeding › Chapter

3 Scopus citations

Abstract

Virtual environments (VEs) allow the development of promising tools in several application domains. In medical training, the learning potential of VE is significantly amplified by the capability of the tools to present 3D deformable models in real-time. This paper presents a distributed software architecture that allows visualization of a 3D deformable lungs model superimposed on a human patient simulator at several remote trainee locations. The paper presents the integration of deformable 3D anatomical models in a distributed software architecture targeted towards medical prognostics and training, as well as the assessment of the shared state consistency across multiple users. The results of the assessment prove that with delay compensation, the distributed interactive VE prototype achieves high levels of shared state consistency.

Original language	American English
Title of host publication	Proceedings of the Association for Computing Machinery Southeast Regional Conference
DOIs	https://doi.org/10.1145/1167350.1167430
State	Published - Mar 18 2005

Keywords

Deformable virtual models
Distributed training system
High-resolution

DC Disciplines

Computer Sciences

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10.1145/1167350.1167430License: Unspecified

Cite this

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abstract = " Virtual environments (VEs) allow the development of promising tools in several application domains. In medical training, the learning potential of VE is significantly amplified by the capability of the tools to present 3D deformable models in real-time. This paper presents a distributed software architecture that allows visualization of a 3D deformable lungs model superimposed on a human patient simulator at several remote trainee locations. The paper presents the integration of deformable 3D anatomical models in a distributed software architecture targeted towards medical prognostics and training, as well as the assessment of the shared state consistency across multiple users. The results of the assessment prove that with delay compensation, the distributed interactive VE prototype achieves high levels of shared state consistency.",

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AB - Virtual environments (VEs) allow the development of promising tools in several application domains. In medical training, the learning potential of VE is significantly amplified by the capability of the tools to present 3D deformable models in real-time. This paper presents a distributed software architecture that allows visualization of a 3D deformable lungs model superimposed on a human patient simulator at several remote trainee locations. The paper presents the integration of deformable 3D anatomical models in a distributed software architecture targeted towards medical prognostics and training, as well as the assessment of the shared state consistency across multiple users. The results of the assessment prove that with delay compensation, the distributed interactive VE prototype achieves high levels of shared state consistency.

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KW - Distributed training system

KW - High-resolution

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M3 - Chapter

BT - Proceedings of the Association for Computing Machinery Southeast Regional Conference

ER -

Distributed Training System with High-Resolution Deformable Virtual Models

Abstract

Keywords

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