[1]周 尧,周松照,崔逸林,等.基于 RFID 无源标签的智能开关控制系统[J].计算机技术与发展,2020,30(06):29-34.[doi:10. 3969 / j. issn. 1673-629X. 2020. 06. 006]
　ZHOU Yao,ZHOU Song-zhao,CUI Yi-lin,et al.An Intelligent Switch Control System Based on RFID Passive Tag[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2020,30(06):29-34.[doi:10. 3969 / j. issn. 1673-629X. 2020. 06. 006]
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基于 RFID 无源标签的智能开关控制系统()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年06期
页码:
29-34
栏目:
智能、算法、系统工程
出版日期:
2020-06-10

文章信息/Info

Title:
An Intelligent Switch Control System Based on RFID Passive Tag
文章编号:
1673-629X(2020)06-0029-06
作者:
周 尧1 ; 周松照1 ; 崔逸林1 ; 叶 宁2
1. 南京邮电大学 海外教育学院,江苏 南京 210003; 2. 南京邮电大学 江苏省无线传感网高技术重点实验室,江苏 南京 210000
Author(s):
ZHOU Yao1 ; ZHOU Song-zhao1 ; CUI Yi-lin1 ; YE Ning2
1. School of Overseas Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China; 2. Jiangsu Provincial Key Laboratory of Wireless Sensor Networks,Nanjing University of Posts and Telecommunications,Nanjing 210000,China
关键词:
RFID; 手势控制; 智能家居; 无源标签; 蓝牙 mesh
Keywords:
RFID; gesture control; smart home; passive tags; Bluetooth mesh
分类号:
TP302
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 06. 006
摘要:
针对传统手势控制系统制作成本高和对光线依赖性强等问题,设计了一种基于 RFID 无源标签的智能开关控制系统。系统以 RFID 技术与蓝牙 mesh 技术为支撑,将手势识别技术与智能开关控制技术有机结合,首先通过提取用户所佩戴的 RFID 无源标签的运动轨迹,并在 PC 端中构建手势数据指令库,同时利用加窗处理来解决无源标签运动时反射信号的不连续性,提取标签运动时相位流中的波纹特征分段,继而利用动态时间规整(dynamic time warping, DTW) 算法计算当前手势运动分段与预先设置的手势指令库中各维分量的匹配度,同时在此基础上结合 KNN 邻近算法实现手势分类,之后将识别的手势指令与 PC 端构建的数据指令库进行匹配,通过蓝牙 mesh 系统将控制指令传递给各个用电器,实现用户对智能开关系统的手势控制。 实验结果显示该系统可以对多个智能开关进行远程实时控制,智能开关对手势指令正确反馈率达到 90% 。
Abstract:
An intelligent switch control system based on RFID passive tag is designed to solve the problems of high cost and strong dependence on light in traditional gesture control system. This system is supported by RFID and wireless Bluetooth mesh technology,which organically combines gesture recognition technology and intelligent switch control technology. Firstly,the trajectory of the RFID passive tag worn by the user is extracted,and the gesture database is constructed in the PC terminal. Meanwhile,the window handing is used to solve the discontinuity of the reflected signal when the passive tag moves. Then the ripple characteristics segments from the phase flow of tag movements are extracted,and the matching rate between the current gesture segments and each dimension component in the preset gesture database is calculated by the dynamic time warping (DTW) . At the same time,the gesture classification is realized by combiningk-Nearest Neighbor (KNN) on this basis,and then the recognized gesture instruction is matched with the gesture database by the PC terminal,and the control instruction is transmitted to each user through the Bluetooth mesh system,so as to realize the gesture control of the intelligent switching system by the user ultimately. Experiment show that the correct response rate of intelligent switches to gesture instructions has reached exactly 90% and this system can control multiple intelligent switches remotely in real time.

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更新日期/Last Update: 2020-06-10