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Hierarchical spatial hashing‐based collision detection and hybrid collision response in a haptic surgery simulator

Identifieur interne : 004F48 ( Main/Exploration ); précédent : 004F47; suivant : 004F49

Hierarchical 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 :

RBID : ISTEX:7412ABD5F79ECE94E6BA852368EEAC8EC6CB4F22

English descriptors

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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<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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