Hierarchical spatial hashing‐based collision detection and hybrid collision response in a haptic surgery simulator
Identifieur interne : 004F48 ( Main/Exploration ); précédent : 004F47; suivant : 004F49Hierarchical spatial hashing‐based collision detection and hybrid collision response in a haptic surgery simulator
Auteurs : X. Li [République populaire de Chine] ; L. Gu [République populaire de Chine] ; S. Zhang [République populaire de Chine] ; J. Zhang [République populaire de Chine] ; G. Zheng [République populaire de Chine] ; P. Huang [République populaire de Chine] ; J. Xu [République populaire de Chine]Source :
- The International Journal of Medical Robotics and Computer Assisted Surgery [ 1478-5951 ] ; 2008-03.
English descriptors
- KwdEn :
- MESH :
- methods : Imaging, Three-Dimensional, Physical Stimulation, Surgery, Computer-Assisted.
- physiology : Touch.
- Algorithms, Computer Simulation, Humans, Models, Biological, User-Computer Interface.
Abstract
Background: Collision detection and response are two crucial aspects in a virtual surgery simulator, which significantly affect the output in real‐time response and simulation realism. Methods: We propose a collision detection algorithm which employs a novel hierarchical spatial hashing to effectively achieve appropriate parameters. Thereafter we present a hybrid collision response scheme which takes the advantages of three traditional methods and introduces a ‘force filter’ to obtain more realistic feedback force. Results: The average performance of our proposed collision detection has been improved by 15.65% against the traditional method. After collision response processing the smoothness of feedback force has been greatly enhanced, and this indicates a more realistic feedback force without restricting the range of force inputs. Conclusions: The experimental results reveal that the proposed approaches can achieve the real‐time response and simulation realism required by a haptic surgery simulator. Copyright © 2008 John Wiley & Sons, Ltd.
Url:
DOI: 10.1002/rcs.177
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Background: Collision detection and response are two crucial aspects in a virtual surgery simulator, which significantly affect the output in real‐time response and simulation realism. Methods: We propose a collision detection algorithm which employs a novel hierarchical spatial hashing to effectively achieve appropriate parameters. Thereafter we present a hybrid collision response scheme which takes the advantages of three traditional methods and introduces a ‘force filter’ to obtain more realistic feedback force. Results: The average performance of our proposed collision detection has been improved by 15.65% against the traditional method. After collision response processing the smoothness of feedback force has been greatly enhanced, and this indicates a more realistic feedback force without restricting the range of force inputs. Conclusions: The experimental results reveal that the proposed approaches can achieve the real‐time response and simulation realism required by a haptic surgery simulator. Copyright © 2008 John Wiley & Sons, Ltd.</div>
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