A categorisation and implementation of digital pen features for behaviour characterisation
Computer Vision and Pattern Recognition
2018-10-10 v1 Artificial Intelligence
Human-Computer Interaction
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.
Cite
@article{arxiv.1810.03970,
title = {A categorisation and implementation of digital pen features for behaviour characterisation},
author = {Alexander Prange and Michael Barz and Daniel Sonntag},
journal= {arXiv preprint arXiv:1810.03970},
year = {2018}
}