Human-computer Interaction System Based on GRBF & HMM

AbstractPeople have made many researches on computer vision, but the accuracy and speed were not satisfactory. This paper introduced a Human-computer interaction system based on GRBF and HMM. The paper used GRBF Artificial Neural Networks define the position of head, and HMM define the position of fingers. We combined the line of sight and the direction of fingers to ensure the uses’ input focus. And the results showed that the recognition accuracy and speed of the system had been increased greatly in this way