Improvement of emotion recognition methods based on neural networks
This article analyzes the use of microexpressions – subtle facial movements that are difficult for the human eye to notice, and even more difficult to immediately analyze, even specialists in the field do not always succeed in this perfectly, because their speed is only 1/5 to 1/3 of a second, for assessment of psychological state using artificial intelligence methods. The research is aimed at improving the analysis of micro-mimicry for accurate identification of emotions and psychological state.