Computers and computerized machines have tremendously penetrated all aspects of our lives. This raises the importance ofHuman-\nComputer Interface (HCI). The common HCI techniques still rely on simple devices such as keyboard, mice, and joysticks, which\nare not enough to convoy the latest technology. Hand gesture has become one of the most important attractive alternatives to\nexisting traditional HCI techniques. This paper proposes a new hand gesture detection system for Human-Computer Interaction\nusing real-time video streaming. This is achieved by removing the background using average background algorithm and the 1$\nalgorithm for hand�s template matching. Then every hand gesture is translated to commands that can be used to control robot\nmovements. The simulation results show that the proposed algorithm can achieve high detection rate and small recognition time\nunder different light changes, scales, rotation, and background.
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