Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
arXiv:2202.12693 · doi:10.1007/s12559-021-09938-2
Abstract
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.
arXiv comment27 pages
References in corpus (7)
- Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
- A Perspective Analysis of Handwritten Signature Technology
- EMOTHAW: A novel database for emotional state recognition from handwriting
- Computer keyboard interaction as an indicator of early Parkinson's disease
- Gender classification by means of online uppercase handwriting: A text-dependent allographic approach
- A comparative study of in-air trajectories at short and long distances in online handwriting
- On the Handwriting Tasks' Analysis to Detect Fatigue
Cited by in corpus (6)
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- Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
- Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification
- On the analysis of saturated pressure to detect fatigue