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    李慧

    • 教授     博士生导师   硕士生导师
    • 主要任职:信息与通信工程学院副院长
    • 性别:女
    • 毕业院校:浙江大学
    • 学位:博士
    • 所在单位:信息与通信工程学院
    • 学科:通信与信息系统. 电磁场与微波技术
    • 办公地点:大连理工大学海山楼 A524
    • 联系方式:hui.li@dlut.edu.cn
    • 电子邮箱:hui.li@dlut.edu.cn

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    A Novel Finger-Controlled Passive RFID Tag Design for Human-Machine Interaction

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    论文类型:期刊论文

    发表时间:2019-12-01

    发表刊物:SENSORS

    收录刊物:PubMed、SCIE

    卷号:19

    期号:23

    关键字:radio frequency identification (RFID); tag antenna; ultra-high frequency (UHF); human-machine interaction (HMI)

    摘要:Radio frequency identification (RFID) has shown its potential in human-machine interaction thanks to its inherent function of identification and relevant physical information of signals, but complex data processing and undesirable input accuracy restrict its application and promotion in practical use. This paper proposes a novel finger-controlled passive RFID tag design for human-machine interaction. The tag antenna is based on a dipole antenna with a separated T-match structure, which is able to adjust the state of the tag by the press of a finger. The state of the proposed tag can be recognized directly by the code received by the RFID reader, and no complex data processing is needed. Since the code is hardly affected by surroundings, the proposed tag is suitable to be used as a wireless switch or control button in multiple scenarios. Moreover, arrays of the proposed tag with rational tag arrangements could contribute to a series of manual control devices, such as a wireless keyboard, a remote controller, and a wireless gamepad, without batteries. A 3 x 4 array of the finger-controlled tag is presented to constitute a simple passive RFID keyboard as an example of the applications of the proposed tag array and it refers to the arrangement of a keypad and can achieve precise, convenient, quick, and practical commands and text input into machines by pressing the tags with fingers. Simulations and measurements of the proposed tag and tag array have been carried out to validate their performances in human-machine interaction.