Robotic Control of Dynamic and Static Gesture Recognition

Abstract

In recent years, gesture recognition control has become an important research topic in the field of intelligent robots at home and abroad, and it is a very flexible human-computer interaction method. At present, the use of gesture recognition in industrial production to control robots is mostly a gesture-oriented teaching method, lacking a systematic description of dynamic gestures and static gestures, making it difficult for the robot to understand the complete intention expressed by the operator. The static gesture real-time recognition is centered and the computer vision control in the complex environment realizes the space movement and posture movement of the robot. This way of using the human body language to directly control the robot movement, the human experience, the intention and the manipulator's high efficiency The combination of sustainability and other advantages can accomplish tasks that cannot be accomplished by people or robots alone.