Facial Expression Recognition Method And Application For Intelligent Terminal

In daily life communication,in addition to language and limb movements,facial expressions also play an irreplaceable role in the transmission of information,facial expressions are often able to convey a lot of language and action can not convey things.Therefore,facialexpression recognition as an important part of human-computer intelligence interaction,in recent years by more and more people's attention,if the computer interaction can take advantage of this feature of human facial expressions,it will greatly promote the human-computer interaction The development of the field.The intelligent terminal in today's society and human contact more and more closely,such as smart phones in human daily life plays an indispensable role,so the combination of intelligent terminal and facial expression recognition is of great significance.Facial expression recognition steps include facial detection,facial expression image preprocessing,facial expression feature extraction and facial expression classification,in which facial expression extraction and facial expression classification will be the focus of this paper.In this paper,we first use multiple international facial expression databases as experimental data to study and implement the existing facial expression recognition methods.Secondly,based on the research of the existing facial expression feature extraction,this paper proposes a facial expression feature extraction algorithm based on nonlinear epidemiation.The algorithm improves the recognition accuracy and reduces the complexity.Finally,the combination of machine learning facial expression classification method to achieve the facial expression recognition.In this paper,the research results are combined with the intelligent terminal iOS platform,and the facial expression recognition system for intelligent terminal is designed and developed.The functional targets of face detection,facial expression image preprocessing and facial expression recognition are completed and verified by experiment The system of the indicators.