| （英） |
In actual classes, it is very important for teachers to grasp learning states of students. However, it is difficult to memorize learning states constantly because teachers sometimes write on a blackboard while lecturing. Thus, to relieve a burden of teachers, we have studied a method for identification of a learning state of a student. In the previous study, we proposed the method using skeleton information from Kinect and information of hands for identification of a learning state. In this study, to improve identification accuracy, face information is combined to the method for identification of a learning state.
Keyword Learning Support, Kinect, Gesture Recognition, Face Tracking |