A Computer-Based Quantitative Assessment of Visuo-Spatial Neglect using Regression and Data Transformation

Computer-based assessment systems analysing the drawing responses from a test subject have been widely explored within the area of neuropsychological dysfunction

diagnosis and rehabilitation monitoring. This study reports on the development of a quantitative marking system for the

automated assessment of visuo-spatial neglect. Using a clinically established pencil-and-paper based method as a marking benchmark, a set of features are extracted and selected from a battery of computer-captured drawing tasks. Through the application of linear regression and data transformation, the novel systemis shown to be effective in correlating against a clinically recognised scale,while simultaneously improving the efficiency of the testing process.