A Computer-assisted Teaching System with Gesture Recognition Technology and Its Applications

Abstract

With the development of smart education, the computer-assisted teaching system plays an important role in classroom teaching, while there are still some deficiencies in the current teaching systems which hindering the communication between teachers and students sometimes. In the paper, we developed a teaching platform (StarC) with gesture recognition technology, which contains two functions namely lesson preparation and teaching. Furthermore, we proposed 16 kinds of gestures to instantiate the corresponding teaching functions. For a further study, the platform is applied in a teaching reform project in Suzhou city. This paper analyzed the pretest and post-test scores of experimental group and the control group. The results indicated that students' achievement is much more significant in experimental group than that in the control group. It concluded that the StarC platform can better promote teaching than the traditional multimedia used in classroom teaching.