Comparative of Techniques: Activation by Sequence, Morph Target Animation and CG/HLSL Programming in Surgery Incision Simulation for Virtual Reality

Sebastian Mauro Espinoza Zamata, Pedro Yuri Marquez Solis

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In this decade, the way of simulating medical scenarios has evolved considerably, for some years now, this area and virtual reality came together giving life to a much more immersive form of simulation. The great challenge in medical simulation is to achieve a considerable level of realism and performance, as it is limited by the complexity of the scenario and other factors, the hardware factor being the main limiting. Giving the user the possibility to choose between greater or less realism requires that it be defined with which technique it would be achieved, therefore, this research compares three forms of surgical incision simulation for virtual reality: Activation by Sequence, Morph Target Animation and CG/HLSL Programming, evaluating factors such as: Frames per-second (fps), CPU and GPU usage, which helped to obtain the level of realism of each technique; resulting in that CG/HLSL Programming uses fewer resources, with 27% CPU usage, 5% integrated GPU, 45% dedicated GPU, 60 fps and 44.3% realism, continuing, with an intermediate level use of resources Activation by Sequence with 11% CPU usage, 18% integrated GPU, 57% dedicated GPU, 60 fps, providing 46.5% realism, finally, the technique that used the most resources and obtained the highest level of realism was Morph Target Animation with 23% CPU usage, 22% integrated GPU, 77% dedicated GPU, 53 fps and 51.3% realism; these techniques can be used depending on the objective of the project where more or less realism is required, considering the use of hardware resources.

Idioma originalInglés estadounidense
Título de la publicación alojadaICCIP 2020 - 2020 6th International Conference on Communication and Information Processing
EditorialAssociation for Computing Machinery
Páginas79-88
-10
ISBN (versión digital)9781450388092
DOI
EstadoIndizado - 27 nov. 2020
Evento6th International Conference on Communication and Information Processing, ICCIP 2020 - Virtual, Online, Japón
Duración: 27 nov. 202029 nov. 2020

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia6th International Conference on Communication and Information Processing, ICCIP 2020
País/TerritorioJapón
CiudadVirtual, Online
Período27/11/2029/11/20

Nota bibliográfica

Publisher Copyright:
© 2020 ACM.

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