CRCVLGFeb 24, 2022

Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health

arXiv:2202.12693v125 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review summarizing existing tasks and applications for behavioral signals in security and health domains.

The paper reviews online handwriting and touch dynamics tasks for security and health applications, highlighting their competitive discrimination power and significant impact in these fields.

Background: An advantageous property of behavioural signals ,e.g. handwriting, in contrast to morphological ones, such as iris, fingerprint, hand geometry, etc., is the possibility to ask a user for a very rich amount of different tasks. Methods: This article summarises recent findings and applications of different handwriting and drawing tasks in the field of security and health. More specifically, it is focused on on-line handwriting and hand-based interaction, i.e. signals that utilise a digitizing device (specific devoted or general-purpose tablet/smartphone) during the realization of the tasks. Such devices permit the acquisition of on-surface dynamics as well as in-air movements in time, thus providing complex and richer information when compared to the conventional pen and paper method. Conclusions: Although the scientific literature reports a wide range of tasks and applications, in this paper, we summarize only those providing competitive results (e.g. in terms of discrimination power) and having a significant impact in the field.

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