Assessment of the predictive capability of the biometric video analytics complex for improving the professional psychophysiological selection of candidates for military educational institutions
https://doi.org/10.31089/1026-9428-2020-60-7-484-488
Abstract
At the present stage of development of labor physiology, the issues of scientific substantiation of research methods for the professional suitability of candidates for military specialties and their new instrumentation remain relevant in connection with the increasing requirements of the profession to the psychophysiological capabilities and qualities of employees.
The aim of study is to assess the predictive ability of the biometric video analytics system (for example, the “MIX-GT–19” complex) to determine the professional fitness of military personnel.
The method of videoculographic recording of responses was used to examine young men aged 17–20 years, classified in different categories of professional aptitude, when answering questions from two types of express questionnaires (adaptation and deviant behavior).
A classification of modern systems of biometric video analytics is proposed. The principles of their operation and functionality are described. The prognostic ability of the MIX-GT–19 complex was evaluated by identifying the correlation of its operation with the MLO “Adaptability” method of operation. The results of research conducted using the “MIX-GT–19” complex are presented. The prospects for its further development and application are described.
The physiological efficiency of using hardware and software complex (HSC) based on eye-tracker technology for the purposes of professional selection by studying psychophysiological and behavioral responses is established.
About the Authors
P. I. DmitrievRussian Federation
Pavel I. Dmitriev, the head of Department of Video Analytics, Cand. of Sci. (Tech.)
15 litera p, Krasnogvardeisky ln., St. Petersburg, 197342
S. V. Chermyanin
Russian Federation
Sergey V. Chermyanin
10, Peterburgskoe Highway, St. Petersburg, 196605
I. A. Roznova
Russian Federation
Irina A. Roznova
10, Peterburgskoe Highway, St. Petersburg, 196605
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Review
For citations:
Dmitriev P.I., Chermyanin S.V., Roznova I.A. Assessment of the predictive capability of the biometric video analytics complex for improving the professional psychophysiological selection of candidates for military educational institutions. Russian Journal of Occupational Health and Industrial Ecology. 2020;(7):484-488. (In Russ.) https://doi.org/10.31089/1026-9428-2020-60-7-484-488