METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING USING TWO MACHINE LEARNING MODELS Russian patent published in 2023 - IPC G06N20/00 G16H10/00 A61B5/16 

Abstract RU 2810149 C1

FIELD: computer technology.

SUBSTANCE: invention relates to an automated method and system for automatic polygraph checking using machine learning algorithms. The specified effect is achieved thanks to implementation of a computer-based method for automatic polygraph testing performed using a computer system containing at least two machine learning models, wherein the method performs the steps in which: records of polygraph tests are obtained containing at least the sensor signals with time scales that mark the beginning and the end of the question; additional data is received containing at least the age of the person being checked, gender, job information; the received signals are processed using the first machine learning (ML) model, using the second machine learning (ML) model process the output value of the 1st ML model, and additional data, and determine that the answer is false if the output value is higher or is equal to the threshold value or the answer is true if the output value is below the threshold value.

EFFECT: improved accuracy of polygraph testing.

8 cl, 11 dwg, 11 tbl

Similar patents RU2810149C1

Title Year Author Number
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING USING THREE ENSEMBLES OF MACHINE LEARNING MODELS 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2809595C1
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING USING TWO ENSEMBLES OF MACHINE LEARNING MODELS 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2809490C1
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2809489C1
METHOD OF CALCULATING CLIENT CREDIT RATING 2019
  • Babaev Dmitrij Leonidovich
  • Umerenkov Dmitrij Evgenevich
  • Savchenko Maksim Sergeevich
RU2723448C1
METHOD AND SYSTEM FOR ASSESSING THE PROBABILITY OF CRITICAL CYBER SECURITY DEFECTS AT ACCEPTANCE TESTS OF PRODUCT RELEASES 2020
  • Kudiyarov Dmitrij Sergeevich
  • Bifert Vitalij Ottovich
  • Demyanova Elena Anatolevna
  • Glotov Gennadij Gennadevich
  • Anistratenko Aleksandr Arturovich
RU2745369C1
METHOD AND A SYSTEM FOR PREDICTION OF CYBER SECURITY RISKS DURING THE DEVELOPMENT OF SOFTWARE PRODUCTS 2020
  • Kudiyarov Dmitrij Sergeevich
  • Bifert Vitalij Ottovich
  • Demyanova Elena Anatolevna
  • Glotov Gennadij Gennadevich
  • Anistratenko Aleksandr Arturovich
RU2745371C1
METHOD OF PSYCHO-PHYSIOLOGICAL POLYGRAPH TESTING 2017
  • Sokolov Valerij Vyacheslavovich
RU2669733C1
METHOD FOR OBTAINING LOW-DIMENSIONAL NUMERIC REPRESENTATIONS OF SEQUENCES OF EVENTS 2020
  • Babaev Dmitrij Leonidovich
  • Ovsov Nikita Pavlovich
  • Kireev Ivan Aleksandrovich
RU2741742C1
METHOD AND SYSTEM FOR STATIC ANALYSIS OF EXECUTABLE FILES BASED ON PREDICTIVE MODELS 2020
  • Prudkovskij Nikolaj Sergeevich
RU2759087C1
METHOD AND A SERVER FOR CONVERTING A CATEGORICAL FACTOR VALUE INTO ITS NUMERICAL REPRESENTATION 2017
  • Gulin Andrej Vladimirovich
RU2693324C2

RU 2 810 149 C1

Authors

Asonov Dmitrij Valerevich

Krylov Maksim Andreevich

Ryabikina Anastasiya Evgenevna

Litvinov Evgenij Vyacheslavovich

Mitrofanov Maksim Alekseevich

Mikhajlov Maksim Alekseevich

Dates

2023-12-22Published

2023-01-23Filed