Abstract
The virtual reality technology is used in the mine training simulation areas, which can overcome the limitations of traditional training methods effectively. It can also improve the quality of mine training simulation greatly, reduce training costs, and the users can achieve safe and convenient training. In this paper, a dynamic collision detection algorithm is proposed based on the prediction of the movement direction of a virtual hand, and it is the effective collision detection algorithm using data glove in the mine training simulation system. Compared with the traditional static collision detection algorithm in the performance, the dynamic algorithm is proposed to solve the collision detection between one simulation solid model and another one, and to achieve the function that a virtual hand grip and rotate virtual objects in the virtual environment. The dynamic collision detection algorithm can be extended to other simulation systems.
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