Hierarchical spatial hashing-based collision detection and hybrid collision response in a haptic surgery simulator.
Identifieur interne : 000D49 ( Ncbi/Merge ); précédent : 000D48; suivant : 000D50Hierarchical spatial hashing-based collision detection and hybrid collision response in a haptic surgery simulator.
Auteurs : X. Li [République populaire de Chine] ; L. Gu ; S. Zhang ; J. Zhang ; G. Zheng ; P. Huang ; J. XuSource :
- The international journal of medical robotics + computer assisted surgery : MRCAS [ 1478-596X ] ; 2008.
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
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.
DOI: 10.1002/rcs.177
PubMed: 18273917
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pubmed:18273917Le document en format XML
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<author><name sortKey="Li, X" sort="Li, X" uniqKey="Li X" first="X" last="Li">X. Li</name>
<affiliation wicri:level="1"><nlm:affiliation>Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai</wicri:regionArea>
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<author><name sortKey="Gu, L" sort="Gu, L" uniqKey="Gu L" first="L" last="Gu">L. Gu</name>
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<author><name sortKey="Huang, P" sort="Huang, P" uniqKey="Huang P" first="P" last="Huang">P. Huang</name>
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<author><name sortKey="Xu, J" sort="Xu, J" uniqKey="Xu J" first="J" last="Xu">J. Xu</name>
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<author><name sortKey="Zhang, S" sort="Zhang, S" uniqKey="Zhang S" first="S" last="Zhang">S. Zhang</name>
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<author><name sortKey="Zhang, J" sort="Zhang, J" uniqKey="Zhang J" first="J" last="Zhang">J. Zhang</name>
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<author><name sortKey="Zheng, G" sort="Zheng, G" uniqKey="Zheng G" first="G" last="Zheng">G. Zheng</name>
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<author><name sortKey="Huang, P" sort="Huang, P" uniqKey="Huang P" first="P" last="Huang">P. Huang</name>
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<author><name sortKey="Xu, J" sort="Xu, J" uniqKey="Xu J" first="J" last="Xu">J. Xu</name>
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<series><title level="j">The international journal of medical robotics + computer assisted surgery : MRCAS</title>
<idno type="eISSN">1478-596X</idno>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term>
<term>Computer Simulation</term>
<term>Humans</term>
<term>Imaging, Three-Dimensional (methods)</term>
<term>Models, Biological</term>
<term>Physical Stimulation (methods)</term>
<term>Surgery, Computer-Assisted (methods)</term>
<term>Touch (physiology)</term>
<term>User-Computer Interface</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Imaging, Three-Dimensional</term>
<term>Physical Stimulation</term>
<term>Surgery, Computer-Assisted</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Touch</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Computer Simulation</term>
<term>Humans</term>
<term>Models, Biological</term>
<term>User-Computer Interface</term>
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<front><div type="abstract" xml:lang="en">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.</div>
</front>
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<pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">18273917</PMID>
<DateCreated><Year>2008</Year>
<Month>03</Month>
<Day>10</Day>
</DateCreated>
<DateCompleted><Year>2008</Year>
<Month>04</Month>
<Day>16</Day>
</DateCompleted>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1478-596X</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>4</Volume>
<Issue>1</Issue>
<PubDate><Year>2008</Year>
<Month>Mar</Month>
</PubDate>
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<Title>The international journal of medical robotics + computer assisted surgery : MRCAS</Title>
<ISOAbbreviation>Int J Med Robot</ISOAbbreviation>
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<ArticleTitle>Hierarchical spatial hashing-based collision detection and hybrid collision response in a haptic surgery simulator.</ArticleTitle>
<Pagination><MedlinePgn>77-86</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1002/rcs.177</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="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.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="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.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="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.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The experimental results reveal that the proposed approaches can achieve the real-time response and simulation realism required by a haptic surgery simulator.</AbstractText>
</Abstract>
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<Author ValidYN="Y"><LastName>Zhang</LastName>
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<Language>eng</Language>
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<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Int J Med Robot</MedlineTA>
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<name sortKey="Xu, J" sort="Xu, J" uniqKey="Xu J" first="J" last="Xu">J. Xu</name>
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