Biometric hand tremor identification on graphics tablet

2019

Closed access Metadata (CSL-JSON)
DOI 10.1117/12.2536421
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

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.