The Method of Automated Assessment of the Functional State of a Person
| Authors: Voronina A.A., Shabalina O.A., Sadovnikova N.P., Guryev V.V. | Published: 23.01.2026 |
| Published in issue: #4(153)/2025 | |
| DOI: | |
| Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing | |
| Keywords: intellectual system, functional state, condition assessment, condition assessment method, oculographic data, emotional state, condition assessment indicator | |
Abstract
The assessment of the functional state of a person can be used to optimize production processes, allocate labor resources, determine the appropriate physical and neuropsychic stress, increase neuropsychic stability and carry out preventive measures against various diseases. The purpose of the article is to consider approaches to assessing the functional state of a person, the data used to assess the condition and the methods of their collection. The metrics of the human condition and the ways of their interpretation in the context of such aspects of the condition as engagement and stress are described. A method of automated assessment of the condition is proposed asa convolution of indicators determined on the basis of heterogeneous data collected in the course of human activity, which allows taking into account various aspects of the condition and increasing the degree of confidence in the results of its assessment. Due to the complexity of interpreting and integrating heterogeneous data, a generalized assessment of the state is carried out using a fuzzy inference mechanism. The architecture of an intelligent system is presented, including a subsystem for assessing the state, an application programming interface (API) and a subsystem for data collection. A subsystem for collecting data from a user working at a computer is being developed. The directions of further research related to the expansion of the set of assessed human conditions and the modification of assessment indicators are determined
Please cite this article in English as:
Voronina A.A., Shabalina O.A., Sadovnikova N.P., et al. The method of automated assessment of the functional state of a person. Herald of the Bauman Moscow State Technical University, Series Instrument Engineering, 2025, no. 4 (153), pp. 61--77 (in Russ.). EDN: LKROFB
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