Abstract: Now a dayís most of the industries demand for robots. The challenge in human robot interaction is that they donít feel real or natural. Growing interest towards gesture recognition of robots and challenges faced, this paper present different methodologies used for hand gesture recognition of robots. Each methodology in sequence improves the recognition rate (RR).These methodologies are listed as follows-Artificial Neural Network (ANN), Bio sleeves, Multilayer Neural Network and Bicubic Interpolation, Gesture Segmentation. Gestures are classified into Static Gestures (SG) and Dynamic Gestures (DG).
Keywords: Homan Robot Interaction, Methodologies, Recognition Rate.