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Biometric hand tremor identification on graphics tablet
Author(s): Karina G. Selivanova; Oleg G. Avrunin; Oleksandr V. Kobylianskyi; Mykhaylo I. Palamarchuk; Artem V. Lyashenko; Zbigniew Omiotek; Aigul Syzdykpayeva
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Paper 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.

Paper Details

Date Published: 6 November 2019
PDF: 5 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762H (6 November 2019); doi: 10.1117/12.2536421
Show Author Affiliations
Karina G. Selivanova, Kharkiv National Univ. of Radio Electronics (Ukraine)
Oleg G. Avrunin, Kharkiv National Univ. of Radio Electronics (Ukraine)
Oleksandr V. Kobylianskyi, Vinnytsia National Technical Univ. (Ukraine)
Mykhaylo I. Palamarchuk, Vinnytsia National Technical Univ. (Ukraine)
Artem V. Lyashenko, Odessa National Medical Univ. (Ukraine)
Zbigniew Omiotek, Lublin Univ. of Technology (Poland)
Aigul Syzdykpayeva, Sarsen Amanzholov East Kazakhstan State Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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