Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 4 of its 118 references that are in the map. First posted on arXiv 24 Feb 2022.
Builds on
4 of 118 references.
References · 4
- 2015DeepWriterID: An End-to-end Online Text-independent Writer Identification Systemcited by 14
- 2016Computer keyboard interaction as an indicator of early Parkinson's diseasecited by 9
- 2022EMOTHAW: A novel database for emotional state recognition from handwritingcited by 6
- 2022A comparative study of in-air trajectories at short and long distances in online handwritingcited by 5
Built on by
Citing papers per year: 2023: 1; 2024: 4; 2025: 1; 2026: 1.
7 papers.
- 2024On the use of first and second derivative approximations for biometric online signature recognitioncited by 1
- 2023Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficultiescited by 0
- 2024Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approachcited by 0
- 2024Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessmentcited by 0
- 2024On the analysis of saturated pressure to detect fatiguecited by 0
- 2025Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identificationcited by 0
- 2026BoundInk: Boundary-Aware Online Handwriting Generationcited by 0
- 2026BoundInk: Boundary-Aware Online Handwriting Generation2 Apr 2026
- 2025Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification21 Jan 2025
- 2024On the analysis of saturated pressure to detect fatigue22 Oct 2024
- 2024On the use of first and second derivative approximations for biometric online signature recognition1 Jun 2024
- 2024Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment28 May 2024
- 2024Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach21 May 2024
- 2023Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties20 Jan 2023