18-09-2014, 04:07 PM
Abstracts: A hand gesture recognition system that allows interacting with a robot and other elements of the system, in dynamic environments and in real-time is proposed. The system detects hands and static gestures using of camera and other sensors, recognize dynamic gestures by computing temporal statistics of the hand’s positions and velocities. Several systems for automatic gesture recognition have been developed using different strategies. In these systems the recognition engine is mainly based on three algorithms: Image Processing, MATLAB Simulink, Gestures. Each of our gesture recognition architecture consists of a preprocessor and a decoder. The preprocessor, which is commonly to every system, receives an image as input and produces a continuous feature vector. The task of the decoder is to decode a sequence of these vectors into an estimate of the underlying movement. This system is used as a wireless or wired. Service robots directly interact with people, so finding a more natural and easy user interface is of fundamental importance. While earlier works have focused primarily on issues such as manipulation and navigation in the environment, few robotic systems are used with user friendly interfaces that possess the ability to control the robot by natural means. To facilitate a feasible solution to this requirement, we have implemented a system through which the user can give commands to a wireless robot using gestures. Through this method, the user can control or navigate the robot by using gestures of his/her palm, thereby interacting with the robotic system. The command signals are generated from these gestures using image processing. These signals are then passed to the robot to navigate it in the specified directions.