Name
Title | ||
|---|---|---|
An Approach for Automated Scene Management in Real-Time Medical Simulation Framework. |
Abstract | ||
|---|---|---|
In this paper we present an algorithm that allows for minimal end-user inputs by internally automating the creation and management of interactions amongst the objects in the scene in real-time medical simulation framework. A bi-directed graph (with nodes representing the scene objects and the connections representing the interactions) is formed based on the inputs from the user. This graph is then processed using a two stage algorithm that aims to find subgraphs that can be treated as independent sub-systems. Collision detection, collision response, assembly and solver objects are then automatically created and managed. This allows for users with limited knowledge of the underlying physics models, collision detection and contact algorithms to easily create a surgical scenario with minimal inputs. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/978-1-61499-625-5-25 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Simulation framework,Real-time simulation,Medical simulation | Graph,Collision detection,Medical simulation,Knowledge management,High Fidelity Simulation Training,Solver,Collision response,Physics | Conference |
Volume | ISSN | Citations |
220 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Venkata S. Arikatla | 1 | 15 | 3.84 |
| Ricardo Ortiz | 2 | 9 | 2.19 |
| Tansel Halic | 3 | 82 | 13.71 |
| Sean Radigan | 4 | 0 | 0.34 |
| David Thompson | 5 | 57 | 9.58 |
| Suvranu De | 6 | 219 | 34.31 |
| Andinet Enquobahrie | 7 | 73 | 15.45 |