Assessing Cognitive Test Performance Using Automatic Digital Pen Features Analysis
Author:
Affiliation:
1. German Research Center for Artificial Intelligence (DFKI), Germany
2. German Research Center for Artificial Intelligence (DFKI) and Oldenburg University, Germany
Funder
BMG
BMBF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3450613.3456812
Reference57 articles.
1. Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology
2. Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality
3. Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests
4. Administration and interpretation of the Trail Making Test
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