A categorisation and implementation of digital pen features for behaviour characterisation

TL;DR

This paper categorizes and implements digital ink features for behavior analysis, providing a framework based on literature-derived feature sets, and demonstrates its use in analyzing cognitive assessments with digital pens.

Contribution

It introduces a comprehensive categorization and a publicly available framework for digital ink features, enhancing behavior characterization methods.

Findings

Framework successfully calculates various digital ink features.

Application in cognitive assessments demonstrates practical utility.

Categorization aids in systematic analysis of digital pen data.

Abstract

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.