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Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

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Abstract

Advantageous property of behavioural signals (e.g. handwriting), in contrast to morphological ones (e.g. iris, fingerprint, hand geometry), is the possibility to ask a user to perform many different tasks. This article summarises recent findings and applications of different handwriting/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. 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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Acknowledgements

This work was supported by Spanish grant PID2020-113242RB-I00, and by grants NU20-04-00294 (Diagnostics of Lewy body diseases in prodromal stage based on multimodal data analysis), and PRIN2017 – BullyBuster project – A framework for bullying and cyberbullying action detection by computer vision and artificial intelligence methods and algorithms. CUP: H94I19000230006.

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Authors and Affiliations

  1. Escola Superior Politecnica, Tecnocampus, Avda. Ernest Lluch 32, Mataro, 08302, Barcelona, Spain

    Marcos Faundez-Zanuy

  2. Department of Telecommunications, Brno University of Technology, Technicka 10, Brno, 61600, Czech Republic

    Jiri Mekyska

  3. Dipartimento di Informatica, Université degli Studi di Bari Aldo Moro, Via E. Orabona 4, Bari, 70125, Italy

    Donato Impedovo

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  1. Marcos Faundez-Zanuy
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  3. Donato Impedovo
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Correspondence to Marcos Faundez-Zanuy.

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Faundez-Zanuy, M., Mekyska, J. & Impedovo, D. Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health. Cogn Comput 13, 1406–1421 (2021). https://doi.org/10.1007/s12559-021-09938-2

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