| With the deepening of social reform,Chinese GDP has reached the forefront of the world and China has becoming the second largest economy after the United States.With the development of computer information technology and the Internet information technology,the traditional educational reform is also the trend.So in this background,to apply the mature computer technology in the traditional natural classroom,to build a digital intelligent classroom,has become a bright spot in modern education.How to apply scientific and technological means to the intelligent classroom,both teachers can feedback to the classroom,but also for students to teach each other,has become a new problem.In the intelligent classroom,this paper makes a research and practice on the students' identification and student behavior detection in the process of teaching students.The main work of this paper is to design and implement a activities measurement system for learners based on image processing and somatosensory equipment in a classroom learning scene where students are free to access.The system firstly performs the student face detection on the captured video image frame by image processing method,uses the neural network technology to extract the raw feature of the image,and finally uses the distance measure method to calculate the similarity degree to realize the student's identity recognition.Secondly,the behavior of the students' classroom learning activities was measured by the methods of skeletal raw data and moving target detection obtained by Kinect somatosensory equipment.Combined with the student's identity and student behavior test results,not only can get the classroom real-time situation and classroom activity,but also the individual students in the multi-class classroom performance analysis.This paper realizes the measurement system from data collection,recording analysis,identification and display in one,not only can teach students according to their character,but also help to improve the effect of teachers' classroom and improve teaching quality and efficiency.Finally,through the practice test results show that the system can effectively identify students and measure students' behavior,but also real-time display of classroom attendance and classroom activity,the behavior of individual students.Which can meet the needs of classroom practice and can provide objective help for the evaluation of teaching process. |