Application of microexpressions analysis based on deep learning in the service industry

Abstract

Micro-expression is a spontaneous expression that cannot be suppressed by humans and an important way to reveal hidden emotions. In order to respond to the increasing service demand and improve service quality, the application of deep learning micro-expression analysis in the service industry can not only detect the service quality of service personnel, evaluate and score service personnel in real time, but also perform real-time evaluation and evaluation of service personnel. Score, it can also detect the emotional changes of the served person in real time and formulate corresponding service strategies. This article uses a 13- layer VGG structure convolution model. The experimental results show that the model can accurately analyze the changes in the expressions of the characters, indicating that the micro-expression analysis of deep learning is feasible in the service industry.