摘要
With the popularization of computer hardware and software technology, human-machine interaction technology plays an increasingly important role within the Museum field, and it received prominent attention from academia and industry. Particularly, the appearance of Leap Motion controller, man-machine interaction application is more extensive and mature. The operator by contacting fewer devices is ready for operation, without the use of external devices such as touch screen, mouse, keyboard. It makes computer interaction more responsive and convenient. In order to increase the accuracy and practicability of gesture recognition, this paper proposes a non-parametric RDP (Ramer-Douglas-Peucker) detection algorithm based on Leap Motion and the RDP algorithms are compared. Tests show that non-parametric RDP detection methods can effectively identify signs and have good adaptability.