CONCEPTUAL MODEL FOR GENDER PREDICTION BASED ON USER INPUT: CONCEPTUAL MODEL FOR GENDER PREDICTION BASED ON USER INPUT

Valentin Atanasov

doi:10.46687/jsar.v31i1.501

Authors

Valentin Atanasov Department of Communication and Computer Engineering and Security Technologies, Faculty of Technical Sciences, Konstantin Preslavsky University of Shumen, Shumen 9712, 115 Universitetska St., e-mail: v.atanasov@shu.bg

DOI:

https://doi.org/10.46687/jsar.v31i1.501

Keywords:

Keystroke dynamics, Gender classification, Prognosis, Modelling

Abstract

The present study examines an approach to the synthesis of a conceptual model for gender prediction based on user input. The predictive capability of the model is grounded in statistical differences observed within specific datasets and in the applicability of a machine-learning classification model. The predictive analysis is governed by a set of parameters, including language, the specifications of the peripheral input device, sample size, and biological indicators. It should be noted that reliable classification of a user's gender is a function of predefined key indicators.

Author Biography

Valentin Atanasov, Department of Communication and Computer Engineering and Security Technologies, Faculty of Technical Sciences, Konstantin Preslavsky University of Shumen, Shumen 9712, 115 Universitetska St., e-mail: v.atanasov@shu.bg

Department of Communication and Computer Engineering and Security Technologies, Faculty of Technical Sciences, Konstantin Preslavsky University of Shumen, Shumen 9712, 115 Universitetska St., e-mail: v.atanasov@shu.bg

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CONCEPTUAL MODEL FOR GENDER PREDICTION BASED ON USER INPUT