An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation

Jing Qin; Kup Sze Choi; Simon S.M. Ho; P. A. Heng

An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation

Jing Qin, Kup Sze Choi, Simon S.M. Ho, P. A. Heng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

A force prediction algorithm is proposed to facilitate virtual-reality (VR) based collaborative surgical simulation by reducing the effect of network latencies. State regeneration is used to correct the estimated prediction. This algorithm is incorporated into an adaptive transmission protocol in which auxiliary features such as view synchronization and coupling control are equipped to ensure the system consistency. We implemented this protocol using multi-threaded technique on a cluster-based network architecture.

Original language	English
Title of host publication	Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent
Subtitle of host publication	NextMed by Design, MMVR 2008
Pages	387-389
Number of pages	3
Volume	132
Publication status	Published - 1 Dec 2008
Event	Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008 - Long Beach, CA, United States Duration: 30 Jan 2008 → 1 Feb 2008

Conference

Conference	Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008
Country/Territory	United States
City	Long Beach, CA
Period	30/01/08 → 1/02/08

Keywords

Collaborative surgical simulation
Force prediction
State regeneration

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Cite this

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title = "An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation",

abstract = "A force prediction algorithm is proposed to facilitate virtual-reality (VR) based collaborative surgical simulation by reducing the effect of network latencies. State regeneration is used to correct the estimated prediction. This algorithm is incorporated into an adaptive transmission protocol in which auxiliary features such as view synchronization and coupling control are equipped to ensure the system consistency. We implemented this protocol using multi-threaded technique on a cluster-based network architecture.",

keywords = "Collaborative surgical simulation, Force prediction, State regeneration",

author = "Jing Qin and Choi, {Kup Sze} and Ho, {Simon S.M.} and Heng, {P. A.}",

year = "2008",

month = dec,

day = "1",

language = "English",

isbn = "9781586038229",

volume = "132",

pages = "387--389",

booktitle = "Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent",

note = "Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008 ; Conference date: 30-01-2008 Through 01-02-2008",

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Qin, J , Choi, KS, Ho, SSM & Heng, PA 2008, An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation. in Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008. vol. 132, pp. 387-389, Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008, Long Beach, CA, United States, 30/01/08.

An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation. / Qin, Jing ; Choi, Kup Sze; Ho, Simon S.M.; Heng, P. A.

Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008. Vol. 132 2008. p. 387-389.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Ho, Simon S.M.

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N2 - A force prediction algorithm is proposed to facilitate virtual-reality (VR) based collaborative surgical simulation by reducing the effect of network latencies. State regeneration is used to correct the estimated prediction. This algorithm is incorporated into an adaptive transmission protocol in which auxiliary features such as view synchronization and coupling control are equipped to ensure the system consistency. We implemented this protocol using multi-threaded technique on a cluster-based network architecture.

AB - A force prediction algorithm is proposed to facilitate virtual-reality (VR) based collaborative surgical simulation by reducing the effect of network latencies. State regeneration is used to correct the estimated prediction. This algorithm is incorporated into an adaptive transmission protocol in which auxiliary features such as view synchronization and coupling control are equipped to ensure the system consistency. We implemented this protocol using multi-threaded technique on a cluster-based network architecture.

KW - Collaborative surgical simulation

KW - Force prediction

KW - State regeneration

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M3 - Conference article published in proceeding or book

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VL - 132

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BT - Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent

T2 - Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008

Y2 - 30 January 2008 through 1 February 2008

ER -

An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this