Vision-Based Hand Gestures Recognition for Human-Robot Interaction

This paper presents a vision-based hand gesture recognition system for interaction between human and robot. A real-time two hands gestures recognition system has been developed by combining three larger components analysis based on skin-color segmentation and multiple features based template-matching techniques. Gesture commands are generated and issued whenever the combinations of three skin-like regions at a particular frame match with the predefined gestures. These gesture commands are sent to robots through TCP-IP network for human-robot interaction. A method has also been proposed to detect left hand and right hand relative to face position, as well as, to detect the face and locate its position. The effectiveness of our method has been demonstrated over the interaction with a robot named ROBOVIE.