Hand gesture based control strategy for mobile robots

In this paper, a hand gesture based control design is proposed for mobile robots. Mobile robots can move according to the control signals encoded by hand gestures. The gesture region is segmented from complicated background and the gestures are recognized by using some techniques such as image processing, image filtering processing, morphological image processing, image contour processing, etc. Then a template matching algorithm is proposed with the help of the invariant moment matching method to recognize the hand gestures. The recognition results are decoded as feedback information to control the mobile robots. Finally, some simulation results are provided to validate the proposed control algorithm.