The Study on Virtual Input Method Based on Machine Vision

Currently, virtual reality technology has been increasingly used in different industries. In the virtual and reality environment, the human-computer interaction device is challenged by expensive cost and restrained using environment. With the development of computer technology, using computer vision technology to solve the problem of human-computer interaction in virtual reality has become a thought used for the study the man-machine interface. This article uses the Gaussian model based on skin color in combination with improved optical flow field tracking algorithm, realizing the real-time rapid gesture tracking under complicated situations. The method can ensure high algorithm execution efficiency and detection accuracy while ensuring high robustness.