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

Abstract

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.

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Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
Man-Machine Interactions 2 strony 207 - 217
Language:
English
Publication year:
2011
Bibliographic description:
Kaszuba K., Kostek B.: 3D Hand Shape Modeling for Automatic Assessing Motor Performance in Parkinson's Disease// Man-Machine Interactions 2/ ed. eds. T. Czachórski, S. Kozielski, U. Stanczyk. Berlin: Springier Verlag, 2011, s.207-217
Verified by:
Gdańsk University of Technology

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