Vision-based authenticated robotic control using face and hand gesture recognition

Abstract

In this paper, a simple, yet effective system for authenticated robot control applications is presented. The system is based on face and hand gesture recognition. First, the user is verified using real dual-tree discrete wavelet transform (R-DT-DWT) based face recognition. The authenticated user is further allowed to have control over the required robot application using hand gesture recognition. Later, the hand gestures are accordingly interpreted for the required operation. Here, a limited set of hand gestures are used for controlling different operation of a robot. Simulation results show that the proposed method is simple and efficient.