A categorisation and implementation of digital pen features for behaviour characterisation
This work provides a framework for researchers and practitioners in digital health or cognitive assessment to analyze behavior, but it is incremental as it builds on existing feature sets.
The paper tackled the problem of behavior characterization using digital ink by categorizing and implementing features from literature, and demonstrated its application in analyzing cognitive assessments with a digital pen.
In this paper we provide a categorisation and implementation of digital ink features for behaviour characterisation. Based on four feature sets taken from literature, we provide a categorisation in different classes of syntactic and semantic features. We implemented a publicly available framework to calculate these features and show its deployment in the use case of analysing cognitive assessments performed using a digital pen.