The human factor plays a significant role in ensuring the integrated safety of
technological facilities. It is important to monitor the state of the operator of automated process
control systems in soft real-time mode in order to reduce the risk of attention and concentration
losses. Paper discusses the issues of increasing the efficiency of monitoring system of the
operator’s state by using algorithms for assessing the psycho-emotional state. These algorithms
apply methods of intelligent analysis of video sequence data without the use of additional
contact sensors, which reduces probability of making a wrong decision due to the timely
detection of unstable psycho-emotional states. The accuracy of detecting unstable psycho-
emotional states on a test data set is 79%
