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Novel rule-based static and dynamic feature extraction from figure copying tasks for the detection of visuo-spatial neglect

Guest, Richard, Fairhurst, Michael, Potter, Jonathan, Donelly, N. (2000) Novel rule-based static and dynamic feature extraction from figure copying tasks for the detection of visuo-spatial neglect. In: Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:36566)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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http://proceedings.eldoc.ub.rug.nl/FILES/HOME/IAPR...

Abstract

A series of static rule-based assessment criteria and dynamic constructional features are defined and used to analyse the hand-drawn responses from a geometric figure copying task. Assessment subjectivity is removed by the algorithmic definition of analysis criteria and test diagnostic sensitivity to the condition of visuo-spatial neglect is increased through the analysis of the novel dynamic features. This sensitivity increase is demonstrated by the identification of constructional performance deficits in test responses which appear 'normal' by conventional static assessment. The investigation is carried out with a population of stroke patients.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Richard Guest
Date Deposited: 18 Nov 2013 13:51 UTC
Last Modified: 16 Nov 2021 10:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/36566 (The current URI for this page, for reference purposes)
Guest, Richard: https://orcid.org/0000-0001-7535-7336
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