3D Hand Shape Modeling for Automatic Assessing Motor Performance in Parkinson’s Disease

  • Katarzyna Kaszuba
  • Bożena Kostek
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 103)


In this paper a method for hand pattern processing to create a 3D hand model is presented. By applying a complete hand armature to the model obtained, an interpolation of three motor tests for an individual Parkinson’s disease patient can be performed. To obtain the 3D hand model the top view of the hand from a web cam is analyzed. The hand contour is examined to find characteristic points that allows for dividing hand image into three subareas: metacarpus, thumb and fingers. These are processed separately to produce a list of necessary vertices. Then polygons are modeled by grouping vertices into vectors of four values corresponding to the vertex indices. The third dimension is introduced by adding z coordinate to each vertex. The modeling results in a list of vertices and polygons that is then used for forming the reference animation.


Parkinson’s Disease UPDRS 3D modeling animation movement analysis 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Katarzyna Kaszuba
    • 1
  • Bożena Kostek
    • 1
  1. 1.Gdansk University of TechnologyGdańskPoland

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