RECOGNITION OF A PSYCHOEMOTIONAL STATE BASED ON VIDEO SURVEILLANCE: REVIEW

2021

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.26577/jmmcs.2021.v112.i4.11
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Currently, the determination of the psychoemotional state of the observed, including students and pupils, is an urgent task that has social significance. The pace of technology development and the increased interest of foreign and domestic specialists show that the automation of the determination of psychoemotional reactions is an actual and popular area of research. The article provides an overview of various literature sources on this topic, analyzes the existing types of emotional artificial intelligence that allow a computer to recognize and interpret human emotions and respond to them. The camera reads the person's state, and the neural network processes the data to determine the emotion. In addition, recent research papers published during 2019 and 2020 are included to present the latest advances in this field.