FIELD: polygraph testing.
SUBSTANCE: invention relates to a method and system for automatic subject testing by a polygraph using machine learning methods. The method produces polygraph test records containing at least sensor signals with time scales on which the beginning and end of the question are marked; additional data containing at least the age of the person being checked, gender, job information are received; the received signals and additional data are processed using a machine learning (ML) model, and during this processing the following is carried out: determination of time intervals for extracting variables based on the time stamps of the beginning and end of the question and the time stamp of the answer, and based on the type and topic of the question; extracting variables from each signal at certain time intervals; processing of obtained variables from signals, which involves normalization and concatenation of processed variables and construction of a vector based on them; separating additional data into categorical and numerical variables; processing of obtained variables from additional data, which involves vectorization of categorical variables and normalization of numerical variables; concatenation of processed variables extracted from each signal and processed additional variables, and constructing a vector based on them; feeding said vector into the ML model to obtain an output value of the ML model; comparison of the model output value with a given threshold value; and determining that the response is false if the output value is greater than or equal to the threshold value or the response is true if the output value is below the threshold value.
EFFECT: increasing the accuracy of polygraph testing.
7 cl, 11 dwg, 11 tbl
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Authors
Dates
2023-12-12—Published
2023-01-16—Filed