Study Of Emotional Interaction Technology Based On Smart Phone

Human-computer interaction is a technology that studies people and machines and the relationship between them.With the rapid development of science and technology,there has been a qualitative change in human-computer interaction technology.Taking an overview of the historical evolution of human-computer interaction,the human-computer interaction mode has been developed from the manual operation phase,the language command phase and the interactive phase of the graphical user interface to the multi-modal interaction phase.The key point of development in the next section of interaction technology is advanced human-computer interaction,which depends on the ability of affective computing to be given to the machine so that the machine can sense and understand human's emotional state.It is of great significance to study affective computing in human-computer interaction.As sensor technology matures,smart phone sensors provide powerful computing capabilities and use highly integrated design,which provide additional clues to recognizing human emotions and intentions.Based on this,this paper takes smart phone as a carrier,uses the smart phone sensors to obtain the action data of a person in a specific interaction context,and excavates the correlation between a limb sign signal and the emotion state to realize the exploration of the human emotion perception by the machine.Affective computing has drawn wide attention from academia and business since it was put forward.At present,researchers have explored various ways to identify the emotional state in the interaction,mainly focusing on facial expression understanding,phonetic acoustics understanding,limb movement comprehension,physiology Signal understanding and textual emotion understanding.This article first introduces the development trend of human-computer interaction,analyzes the status quo of domestic and foreign research on the analysis of users'state information by emotion-based computing technology and sensors-integrated smart phone.Aiming at the interdisciplinary mechanism of emotions,a preliminary study was carried out to summarize the attribution of the emotional state due to the core indicators and body characteristics of the emotion and to analyze the advantages of the smart phone sensors in human perception.In the experimental design phase,we analyze the defects induced by the material such as video,pictures and texts,and summarize the experimental principles of the five types of important factors induced by emotions.According to the specific interaction experiment situation,all aspects of planning experiment are planned,and the experimental evaluation is made after the completion of experiment collection.Using sensors Feature technology engineering,sensors data correlation is analyzed and preprocessed to mine and filter Features associated with emotional states.Finally,the existing machine learning method is used to identify and analyze the main components of the Feature space based on the classification algorithm.This paper provides a Feasible solution for smart phone sensors to perceive and understand emotions.It is favorable to lay the foundation to observe and understand emotions by the machine,and will help promote and inspire the next generation of interactive technology changes on the machine.In addition,the high degree of coupling between the smart phone and human life will help teachers and doctors to find out the autism and other hidden dangers timely,therefore,having broad application prospects in the intelligent education,health care,psychotherapy and other fields.