基于手势识别的机器人控制系统

研究了一种基于人体手势识别的机器人控制系统.首先,利用图像识别技术,通过YCr Cb皮肤颜色模型提取手掌并分析指尖和手心的相关信息;其次,利用帧差法对手掌运动趋势和简单的手势信息进行识别;最后,通过无线蓝牙串口将识别出来的手势信号发送给机器人,以达到手势控制机器人的目的.系统是在VS2010下利用Open CV计算机视觉库进行编译完成的,实现了通过简单的手势信息控制机器人的目的,从而摆脱了人机交互时必须依靠物理接触的限制.实验结果表明,该系统可以实现对机器人前进、后退、左转、右转、停止、加速的实时控制,对手势信息的识别率在90%以上.对进一步探索机器学习、自主识别等相关领域有着较高的参考价值.

Robot Control System Based on Gesture Recognition

A robot control system based on the hand gesture recognition is researched in this paper. First of all, this system uses image recognition technology and YCrCb skin color model to find the palm. Then it analyzes the fingertip and palm center. Furthermore, using frame difference method to identify the movement tendency of the hand and some simple gesture information. Finally, the signals recognized by the system will be transmitted to the robot. This is accomplished through the wireless Bluetooth serial port, in order to control the robot by the hand gesture. This system, which is compiled by OpenCV computer vision library under VS2010, can control the robot through some simple gesture and get rid of the physical contact during the Human-Machine interaction. The experimental result shows that this system can control the robot move forward, move backward, turn left, turn right, stop, speed up in real-time and the recognition rate is above 90%. This technology also has a high reference value on researches such as machine learning and automatic recognition.