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Recognition of human activity based on video is currently one of the most active areas of research in the field of computer vision. Various studies show that the effectiveness of recognizing actions depends on the type of functions performed and how these actions are expressed. At the same time, determining the psychoemotional state of controlled persons, including students and schoolchildren, is an urgent socially significant problem. The pace of technology development and the growing interestdoi:10.26577/jmmcs.2021.v112.i4.11 fatcat:ekoiioywzzg37fqkevoetm7cve