Guest, Richard, Fairhurst, Michael (2002) A novel multi-stage approach to the detection of visuo-spatial neglect based on the analysis of figure copying tasks. In: Proc. 5th ACM Int. Conf. on Assistive Technologies (ASSETS 2002), July 2002, Edinburgh, Scotland. (doi:10.1145/638249.638278) (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:36561)
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. | |
Official URL: http://dx.doi.org/10.1249/MSS.0b013e31822cb0d2 |
Abstract
This paper examines a computer-based technique for the detection of visuo-spatial neglect from the responses of a simple geometric shape copying task. Defining pass/fail criteria based on the presence of drawn components, responses can be accurately and objectively assessed. More importantly, we show that by analysing novel dynamic performance features detailing timing and constructional aspects of each response, significant performance deficits can be noted in drawings made by clinically diagnosed neglect subjects that would have been classified as 'normal' using conventional static analysis, thus improving the sensitivity of the assessment.
Item Type: | Conference or workshop item (Paper) |
---|---|
DOI/Identification number: | 10.1145/638249.638278 |
Uncontrolled keywords: | Automated diagnosis; Drawing analysis; Visuo-spatial neglect |
Subjects: |
Q Science Q Science > QA Mathematics (inc Computing science) T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Richard Guest |
Date Deposited: | 18 Nov 2013 13:35 UTC |
Last Modified: | 05 Nov 2024 10:20 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/36561 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):