摘要 |
PURPOSE: A student learning attitude analysis system in a virtual lecture is provided to supply a learning attitude monitoring system by implementing a learner authentication system through a face image. CONSTITUTION: A facial area of a learner is detected, and the movements of an eye and a head are detected. A sleepiness state is detected based on the sized of the detected eye, and is classified into a moment sleepiness state and a complete sleepiness state. The learning state of the learner is evaluated, and is classified into a moment learning state and a complete learning state. According to the learning state, a learning procedure is designed. In the learning procedure, the lecture completion, a sleepiness preventing method, etc are performed. |