The Real Emotion Recognition And Application Research Based On The Characteristics Of The Pupil

There are usually communication barriers between special groups,and people cannot discover the true feelings of special groups in time.For example,people communicate with the elderly,the deaf and the babies.Sometimes they cannot grasp the emotions of the other person and cause some unnecessary problems.People in different native languages may also misunderstand each other because of their different cultural backgrounds.If the exchange process in time to find each other's emotional changes,we are given a chance to avoid misunderstanding.In the field of emotional research,unlike the other facial features of the emotional recognition,the pupil will change according to different arousal of awareness and sensibility,since pupil diameter and reaction are innervated by both sympathetic and parasympathetic nerves.The pupil variation features is the physiological externalization of human's inner real emotion.This provides a good starting point for the intelligent recognition of human true emotional state,and also provides the possibility for the change of the communication mode of the specific crowd with language communication obstacle.The use of artificial intelligence and machine learning related algorithms,the emotion recognition and interactive application research based on the intelligent analysis of pupil characteristics can create a new barrier-free way of communication.This paper focus on the construction of emotional model based on pupil characteristics and human-computer interaction model to study this issue.In the experiment,we use the mobile device to obtain real-time pupil data and carry on the emotion recognition.Finally,we analyze the data and draw a real emotion recognition model based on pupil characteristics.Therefore,this paper develops an emotion interaction app based on the pupil feature,which makes people can see the emotional state of the object in communication.On the other hand,experimental data and mobile terminal application data will be accumulated to the pupil feature database,used in further identification rate optimization.In this paper,online education(in MOOC as an example),the problem of high dropout rates a number of studies.Based on the pupil characteristics to identify students' emotional state and mental state,the results were timely feedback to the instructor.So that teachers in a timely manner to make relevant countermeasures.So as to improve students' learning efficiency,reduce the dropout rate and improve the quality of online education.Increase the teachers and students in the mental state,learning content and focus on aspects of interaction.This paper is based on the study of pupil characteristics to identify people's true emotional state and analyze the mental state.The models and applications obtained in this paper can meet the needs of different people,and are developed on various platforms.