Analysis of Users' Keyboard Handwriting based on Gaussian Reference Signals
Rifat Rashatovich Sharipov, Marina V. Tumbinskaya, Ayrat Abzalov · 2019 International Russian Automation Conference (RusAutoCon) · 2019
This article analyzes the methods of keyboard users handwriting by using standard Gaussian signals. To construct the access control systems, the authors actualize the use of identification and authentication biometric methods. The detailed review of the analysis methods of handwriting keyboard users is provided. Further, the paper analyzes the research of famous Russian scientists in this field. We present and analyze statistical analyzer circuit keyboard handwriting on the basis of standard Gaussian signals. The density distribution graph of slots pressing and releasing the user key is provided as an example. The conclusion is further drawn about the possibility of the effective use of the methods considered in the identification and authentication systems.