Biometric hand tremor identification on graphics tablet

Karina G. Selivanova; Oleg G. Avrunin; Oleksandr V. Kobylianskyi; Mykhaylo I. Palamarchuk; Artem V. Lyashenko; Zbigniew Omiotek; Aigul Syzdykpayeva

doi:10.1117/12.2536421

6 November 2019 Biometric hand tremor identification on graphics tablet

Karina G. Selivanova, Oleg G. Avrunin, Oleksandr V. Kobylianskyi, Mykhaylo I. Palamarchuk, Artem V. Lyashenko, Zbigniew Omiotek, Aigul Syzdykpayeva

Author Affiliations +

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111762H (2019) https://doi.org/10.1117/12.2536421
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

Abstract

This work describes the use of linguistic modeling for biometric identify the patient during testing on graphics tablet. The general structure of the system identification algorithm and the realization method based on interval approach are reviewed. In the article, basic principles are considered aimed at construction, application and use of the automated systems of authentication on the basis of "informational handwriting" of work stylus on graphics tablet. Some approaches to tremor identification through two constituents of "informational handwriting" are explored: testing on keyboard, touchscreen and dynamics of work with the stylus on graphics tablet was considered.

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Karina G. Selivanova, Oleg G. Avrunin, Oleksandr V. Kobylianskyi, Mykhaylo I. Palamarchuk, Artem V. Lyashenko, Zbigniew Omiotek, and Aigul Syzdykpayeva "Biometric hand tremor identification on graphics tablet", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762H (6 November 2019); https://doi.org/10.1117/12.2536421

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