The Design and Implementation of Arrow Game Projection Interactive System Based on Deep Learning

Lianhao Xu, Bo Li, Wei Xie, Langwen Zhang · 2020

With the rapid development of projection technology, the implementation and study of projection interactive system with different scenarios has made great progress. Humans are no longer just satisfied with the traditional way of interacting with computers through peripheral devices, but are eager to obtain a more natural and friendly mode of interaction. Thus, an arrow game projection interactive system based on deep learning is designed and implemented in this paper. Firstly, an arrow game scene including varieties of vivid interfaces is developed by Unity3D in order to improve user experience. Secondly, a method of mapping the position of arrow in the captured image to the corresponding position of game scene is achieved. Thirdly, object recognition is realized by using the target detection algorithm based on YOLOv3. Finally, the experiment results demonstrate that the novel pattern of interactive system has good real-time performance and high robustness.

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