Decoupling facial motion features and identity features for micro-expression recognition.

ABSTRACT:

Background

Micro-expression is a kind of expression produced by people spontaneously and unconsciously when receiving stimulus. It has the characteristics of low intensity and short duration. Moreover, it cannot be controlled and disguised. Thus, micro-expression can objectively reflect people's real emotional states. Therefore, automatic recognition of micro-expressions can help machines better understand the users' emotion, which can promote human-computer interaction. What's more, micro-expression recognition has a wide range of applications in fields like security systems and psychological treatment. Nowadays, thanks to the development of artificial intelligence, most micro-expression recognition algorithms are based on deep learning. The features extracted by deep learning mod

SUBMITTER: Xie T 

PROVIDER: S-EPMC9680898 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature