Study On Visual Difference And Selective Attention Of High School Students By Video Analysis Technology

Using Internet of Things(LOT)equipment to sense behaviors has been widely applied in many fields.However,during teaching practice,there are still lots of problems existing when abserving in-class behavior of students.The activeness of classroom lead to teacher's failture to capture all the details when teaching.They are unable to pay attention to every students' s behavior at every moment.Thus,we now urgently need new solutions and new supports,helping teacher notice all the in-class behaviors of students,so that they can adjust their teaching method in time,to improve the efficiency.Literature review indicates that most of the study for student behavior observation was based on perspective of teachers,which stays at the subjective judgment level of teachers.Few study of the student behavior observation was based on the subjective perspective of students,which is easy lead to deviations in decision-making.Camera glasses,which has been able to record classroom behavior in real time,would help teachers to master students' classroom behavior from the subjective perspective of students.In addition,the development of image intelligent recognition technology would help the teachers to automatic acquisition and analysis the student's learning data.In this work,the student behavior observation was studied by image intelligent recognition technology based on the subjective perspective of students.For this goal,a visual behavior coding analysis system software have been designed by the principle of computing image similarity by histogram distance based on MATLAB,which can automatically obtain the student's In-class visual coding sequence.By usingdescriptive statistics and EXCEL's COUNTIF function tool,the author analyzed the students' visual preference behaviors,students' outlier behavior and students' perspective frequency changes.The learning dynamics of students are accurately obtained by teachers all the time providing objective judgment basis for teachers to adjust teaching decisions and carry out personalized teaching.The student behavior of ten high school students has been automatic analysis by using the the visual behavior coding analysis system.The results show that:(1)it can be accurately encode visual images by the system;(2)Students' visual preference highlights their selective attention,which contributes to the development of personalized teaching;(3)The frequent occurrence of students' outliers helps teachers to accurately locate students who are distracted;(4)The high frequency of students' perspective changes should prompt teachers to intervene in time;(5)Different positions have an abnormal impact on students' perspective changes.