The objective of this study is to develop and experimentally verify the expert method of non-contact psychological and physiological diagnostics of emotional and mental state of a person by measuring complex patterns of facial micro-movements beyond the conscious control
 of the person through the use of special software, as well as to determine the opportunities and limitations of using this method in forensic psychological examinations. The authors substantiate the prospects of unbiased methods for assessing a person’s emotional and mental state by measuring behavioural patterns using modern digital technologies. The paper identifies the key factors that determine the effectiveness of forensic psychological examination methods.
 The results of the study revealed both general regularities to distinguish patterns and their individual characteristics. However, there were no consistently repeated facial patterns that would allow differentiating the initial stimuli of emotional reactions. It was established that the essential factor subject to the evaluation through the analysis of facial expressions is the level of cognitive load, representing the weight of the situation for a certain person. By applying machine-learning method, the authors developed a technology of the binary classification of questions according to the degree of their subjective cognitive complexity based on the facial micro-movements when a person answers the interview questions.
 The predictive model served as the basis for the development of a pilot version of the expert study method to assess the subjective cognitive complexity of the interview questions. The paper provides minimum technical requirements of “Systems of Psychological and Physiological Studies” software for the analysis of video footage in forensic psychological examination, including standardized requirements for recording an examined person’s facial expressions during the interview. The authors also developed the sequence of the expert’s actions. The paper includes the legal rationale for a new expert study method to be implemented.
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