Student Monitoring Model Using face Detection &Activity classification for smart classroom
Progressive changes made in smart learning have increased the learning capability of the students with the advancements in technology Attention of student in class room is very important for effective learning process .if inattentive students are detected in classroom teaching then the teacher should be able to take necessary step to avoid the situation in which student loss their attention in class . This paper mainly applies color model for face detection and propose a methodology based on activity classification for tracking student attention and give the output data Initially, the images of the students in the classroom are captured through web cameras and other accessories placed in the smart class. Then, the acquired image is passed to the Capture, Transform, and Flow (CTF) tool for storing and transferring for further processing of images. The stored data in the warehouse is then processed to detect the face of the students.
Keywords: face detection, learning environment, activity classification, color model, image