Automatic Classification of Hand Drawn Geometric Shapes using Constructional Sequence Analysis

Authors:
R. M. Guest;S. Chindaro;M. C. Fairhurst;J. M. Potter
Affiliations:
-;-;-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Year:
2003

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Abstract

A method for automatically assessing theconstructional sequence from a neuropsychologicaldrawing task using Hidden Markov Models is presented.We also present a method of extracting and identifyingthe position of individual pen strokes relating toindividual sides of a shape within a drawing to formtraining and testing sequences. Our results from twoexperiments using data from patients with visuo-spatialneglect show the HMM classifier is able to generalise onincorrectly extracted sequences and obtain a diagnosticclassification which can be used alongside other forms ofconventional assessment.