Gesture Recognition Based on Adaptive Genetic Algorithm

Gesture recognition based on small samples is one of the main trends in the advanced humancomputer interaction research.This paper tries to develop a general hand-shape model database based on the Tortoise Model （T M）.Before the interactions，we use the user’s hands information to update the general gesture model database and create the user-specified gesture database.Thereafter，during the course of interactions，via the video information from one or more synchronous cameras，we match the user’s certain gesture with the user-specified gestures based on adaptive genetic algorithms.The experimental results show that the robustness of rea-l time gesture identification can be improved greatly if the ambient light is relatively stable.