Title | ||
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Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test. |
Abstract | ||
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The Clock Drawing Test is used as a cognitive assessment tool in geriatrics to detect signs of dementia or to model the progress of stroke recovery. The result is scored manually by a trained professional. We implement the Mendez scoring scheme and create a hierarchy of error categories that model the test characteristics of the clock drawing test, based on a set of impaired clock examples provided by a geriatrics clinic. Using a digital pen we recorded 120 clock samples for evaluating the automatic scoring system, with a total of 2400 error samples distributed over the 20 error classes of the Mendez scoring scheme. Error classes are scored automatically using a handwriting and gesture recognition framework. Results show that we provide a clinically relevant cognitive model for each subject. In addition, we heavily reduce the time spent on manual scoring. We compare manual scoring results with results produced by our automated system. |
Year | DOI | Keywords |
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2019 | 10.1145/3320435.3320452 | Clock Drawing Test,Cogntive Assessment,Digital Pen,Handwriting Features |
Field | DocType | Citations |
Clock drawing test,Computer science,Artificial intelligence,Natural language processing,Cognition | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexander Prange | 1 | 9 | 6.71 |
Daniel Sonntag | 2 | 292 | 56.22 |