Self-organizing maps for anatomical joint constraint modelling

Glenn L. Jenkins, Michael E. Dacey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The accurate simulation of anatomical joint models is becoming increasingly important for both realistic animation and diagnostic medical applications. Recent models have exploited unit quaternions to eliminate singularities when modelling orientations between limbs at a joint. This has led to the development of quaternion based joint constraint validation and correction methods. In this paper a novel method for implicitly modelling unit quaternion joint constraints using Self Organizing Maps (SOMs) is proposed which attempts to address the limitations of current constraint validation and correction approaches. Initial results show that the resulting SOMs are capable of modelling regular spherical constraints on the orientation of the limb.

Original languageEnglish
Title of host publicationProceedings - 2011 UKSim 13th International Conference on Modelling and Simulation, UKSim 2011
Pages42-47
Number of pages6
DOIs
Publication statusPublished - 21 Apr 2011
Externally publishedYes
Event2011 UKSim 13th International Conference on Modelling and Simulation, UKSim 2011 - Cambridge, United Kingdom
Duration: 30 Mar 20111 Apr 2011

Conference

Conference2011 UKSim 13th International Conference on Modelling and Simulation, UKSim 2011
Country/TerritoryUnited Kingdom
CityCambridge
Period30/03/111/04/11

Keywords

  • Constraint
  • Neural Network
  • Self Organizing Map
  • Unit quaternion

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