• DocumentCode
    2998306
  • Title

    Self-Organizing Maps for Anatomical Joint Constraint Modelling

  • Author

    Jenkins, Glenn L. ; Dacey, Michael E.

  • Author_Institution
    Sch. of Appl. Comput., Swansea Metropolitan Univ., Swansea, UK
  • fYear
    2011
  • fDate
    March 30 2011-April 1 2011
  • Firstpage
    42
  • Lastpage
    47
  • 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.
  • Keywords
    artificial limbs; computer animation; medical diagnostic computing; self-organising feature maps; SOM; anatomical joint constraint modelling; diagnostic medical application; limb; quaternion joint constraints; realistic animation; self-organizing map; spherical constraint; Animation; Artificial neural networks; Computational modeling; Joints; Kinematics; Quaternions; Training; Constraint; Neural Network; Self Organizing Map; Unit quaternion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-61284-705-4
  • Electronic_ISBN
    978-0-7695-4376-5
  • Type

    conf

  • DOI
    10.1109/UKSIM.2011.18
  • Filename
    5754205