A novel multi-stage approach to the detection of visuo-spatial neglect based on the analysis of figure copying tasks
A novel multi-stage approach to the detection of visuo-spatial neglect based on the analysis of figure copying tasks
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.
Automated diagnosis, Drawing analysis, Visuo-spatial neglect
157-161
Association for Computing Machinery
Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, M.C.
6a82d154-93fe-4657-bcee-934d5c888192
1 July 2002
Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, M.C.
6a82d154-93fe-4657-bcee-934d5c888192
Guest, R.M. and Fairhurst, M.C.
(2002)
A novel multi-stage approach to the detection of visuo-spatial neglect based on the analysis of figure copying tasks.
In Assets '02: Proceedings of the fifth international ACM conference on Assistive technologies.
Association for Computing Machinery.
.
(doi:10.1145/638249.638278).
Record type:
Conference or Workshop Item
(Paper)
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.
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More information
Published date: 1 July 2002
Venue - Dates:
The 5th ACM SIGCAPH Conference on Assistive Technologies, , Edinburgh, United Kingdom, 2002-07-08 - 2002-07-10
Keywords:
Automated diagnosis, Drawing analysis, Visuo-spatial neglect
Identifiers
Local EPrints ID: 489630
URI: http://eprints.soton.ac.uk/id/eprint/489630
PURE UUID: e41261c6-6502-44bc-b789-43c727e45050
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Date deposited: 30 Apr 2024 16:34
Last modified: 01 May 2024 02:10
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Contributors
Author:
R.M. Guest
Author:
M.C. Fairhurst
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