Informative signs of the dynamics of manipulation by control devices such as a mouse and keyboard play an important role in the development of software complexes for the identification of biotechnical systems (BTS) operators by their individual dynamics, in solving problems of diagnostics of various psycho emotional states and operator productivity. It finds application in the spheres of technical and law enforcement security, medical and energy spheres, etc. The purpose of this work is to formalize a set of informative signs of the dynamics of manipulation by control devices to solving the problem of diagnosing the productivity of BTS operators. To achieve this goal, an overview of the most frequently used features is presented, the Bayesian approach is considered in the statistical formulation of the recognition problem, a set of informative sings of the dynamics of keyboard handwriting and the dynamics of mouse manipulations is formalized basedon the results of a number of works. Operator productivity forecast based on fuzzy rules based on selected criteria gave an accuracy of more than 90%. The advantage of using the dynamics of manipulation of the control devices of the BTS operators is the absence of special equipment that requires additional costs.
