RECOGNITION OF A PSYCHOEMOTIONAL STATE BASED ON VIDEO SURVEILLANCE: REVIEW

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 interest of foreign and domestic specialists indicate that automation of the detection of psychoemotional reactions is an urgent and popular area of research. The main purpose of this study is to review various literary sources and study methods of image recognition, artificial intelligence technology as a means of determining the psychoemotional state observed based on video surveillance. The article discusses modern types of emotional artificial intelligence that allow a computer to recognize and interpret human emotions and respond to them. The camera reads a person’s state, and the neural network processes data to detect emotions. The pattern recognition methods discussed in this article can solve many problems, and you can find a method that matches the programming language used.