Recent research has shown that children's strategic ability can be improved with game. To improve strategic ability, motor coordination ability and the understanding of historical knowledge, we design an ability training gameto borrow arrows with thatched boats. In order to improve children's learning efficiency, we use deep motion perception technology as a human-computer interaction tool. Our system can allow children to control the movement of boats and interact with virtual objects in the virtual environment through hand-gesture. We can provide some strategic options, such as weather, equipment, etc. Under this new mode of educational game, children's strategic and motor coordination abilities are improved, and their understanding of historical knowledge can be also enhanced.

In recent years, the significance of traditional Chinese civilization is gradually recognized by us. Many studies have shown that serious games are profitable for learning, but they have not yet exerted their tremendous effect in the field of traditional culture. To dissemination traditional cultural education, improve cognitive skills and promote children's interest in learning, we exploited an application using the Unity 3D Game Engine. In this paper, a shooting game is projected with the background of straws boat borrowing arrows, in which children are worked out to complete the collection of arrows through gesture movement and condition selection. In the end, the player's upbeat test results exhibited that the child's mental capacities are smoothly advanced in the game.

Chinese traditional opera is a valuable and fascinating heritage assert in the world as one of the most representative folk art in Chinese history. Its characteristic of ' suppositionality ' in stage scenery provides a possibility of preservation of cultural heritage by digitization means, e.g., 3D Animation and Virtual Reality-based art show. In this novel digitization art form, the construction of virtual scenes is an important pillar--variety of created models should be accommodated to provide a vivid performance stage, including stage props and background. However, the generation of scenes based on traditional manual 3D virtual props modelling method is a tedious and strenuous task. In this paper, a novel shadow puppetry virtual stage scenes construction approach based on semantic and prior probability is proposed for the generation of compositional virtual scenes. First, primitive models based on semantics text segmentation and retrieval is provided for scene composition; and then, scene placement algorithm based on prior probability is conducive to assign these 3D models within virtual scene. This method is tested by generating the virtual performance stage for our shadow puppetry prototype system, within which various traditional art-specific 3D models are assembled. Its ease of use can assist artists to create visually plausible virtual stage without professional scene modelling skill. The user study indicates our approach ' s effectiveness and its efficiency.