基于RFID反向散射通信的机器人手势控制系统

针对当前手势控制技术中手势数据的不稳定性，研究了一种基于RFID反向散射通信的机器人手势控制系统.首先，通过对数据进行加窗处理来解决标签反射信号在时域上的不连续性，并利用相对熵的思想提取相位流中动态手势的指纹特征分段；其次，利用动态时间规整（Dynamic Time Warping，DTW）算法计算当前分段与先验手势指纹库中各一维分量的匹配程度，并在此基础上结合k邻近算法实现手势分类；最后通过蓝牙设备与机器人进行串口通信，实现人机交互应用.实验结果显示该系统可以对机器人进行前进、后退、向左、向右、顺时针旋转、停止的实时控制，机器人对手势指令的正确反馈率高于84%，证明系统在真实环境下具有良好的可行性和鲁棒性.

Robot Gesture Control System Based on RFID Backscatter Communication

In order to solve the instability of gesture data among the current gesture control technologies, a robot gesture control system based on RFID backscatter communication is proposed in this study. Firstly, we add windows to the data for handling the discontinuity of the reflected signal in the time domain, and use the idea of relative entropy to extract the feature segmentation of dynamic gestures. Secondly, based on the Dynamic Time Warping (DTW) algorithm, we calculate the matching degree between the current segment and one-dimensional components in the training set, and we achieve gesture classification combining with the k-nearest algorithm. Finally, we complete this human-computer interaction application through the wireless Bluetooth serial port. Experimental results show that the system can perform actions of forward, backward, leftward, rightward, clockwise rotation, and stop. The correct feedback rate of the robot for gesture commands is higher than 84%, which demonstrates that the system has sound feasibility and robustness in actual deployment.