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pEncode: A Tool for Visualizing Pen Signal Encodings in Real-Time

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posted on 2024-03-20, 12:50 authored by Felix Céard-Falkenberg, Konstantin KuznetsovKonstantin Kuznetsov, Alexander Prange, Michael Barz, Daniel Sonntag
Many features have been proposed for encoding the input signal from digital pens and touch-based interaction. They are widely used for analyzing and classifying handwritten texts, sketches, or gestures. Although they are well defined mathematically, many features are non-trivial and therefore difficult to understand for a human. In this paper, we present an application that visualizes a subset from 114 digital pen features in real-time while drawing. It provides an easy-to-use interface that allows application developers and machine learning practitioners to learn how digital pen features encode their inputs, helps in the feature selection process, and enables rapid prototyping of sketch and gesture classifiers.

History

Primary Research Area

  • Threat Detection and Defenses

Book Title

HHAI2022: Augmenting Human Intellect

Series

Frontiers in Artificial Intelligence and Applications

Publisher

IOS Press

Open Access Type

  • Hybrid

BibTeX

@inbook{Céard-Falkenberg:Kuznetsov:Prange:Barz:Sonntag:2022, title = "pEncode: A Tool for Visualizing Pen Signal Encodings in Real-Time", author = "Céard-Falkenberg, Felix" AND "Kuznetsov, Konstantin" AND "Prange, Alexander" AND "Barz, Michael" AND "Sonntag, Daniel", year = 2022, month = 9, booktitle = "HHAI2022: Augmenting Human Intellect", series = "Frontiers in Artificial Intelligence and Applications", publisher = "IOS Press", doi = "10.3233/faia220217" }

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