Design and implementation of a Chinese character teaching system based on augmented reality interaction technology
In this paper, we design and realize an augmented reality interaction framework. A linear interpolation algorithm in an adaptive spatial grid is proposed to calibrate the magnetic tracker, and the calibrated data is used for registration of the user's viewpoint and the virtual objects. An optimized collision detection algorithm based on Vclip is adopted. Additionally, grasp gesture recognition algorithm based on rough sets theory is presented to capture and recognize the user's hand operation. In order to make it easier to learn the new Chinese characters, a Chinese character teaching system based on the framework is developed. The experimental results show that, in the teaching system, the user's immersion feeling is enhanced to a great extent by the accurate and natural human-computer interaction, which promotes the efficiency of learning new Chinese characters.