A PIEZOELECTRIC BULK WAVE RESONANT HUMIDITY SENSOR FOR NONCONTACT HUMAN-MACHINE INTERACTION

被引:0
|
作者
Le, Xianhao [1 ,2 ,3 ]
Shi, Qiongfeng [1 ,2 ,3 ]
Sun, Zhongda [1 ,2 ,3 ]
Xie, Jin [4 ]
Lee, Chengkuo [1 ,2 ,3 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
[2] Natl Univ Singapore, Ctr Intelligent Sensors, Singapore, Singapore
[3] Natl Univ Singapore, MEMS, Singapore, Singapore
[4] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou, Peoples R China
关键词
Humidity sensor; bulk wave resonator; graphene oxide human-machine interaction; noncontact; Morse code; GRAPHENE OXIDE; INTERFACE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a humidity sensor consisting of a two-port piezoelectric bulk wave resonator and a uniform layer of graphene oxide (GO) film, aiming for the applications of human-machine interaction. With the help of the hydrophilic GO film, the sensor possesses high sensitivity (195 Hz/%RH with an operating frequency of 10.5 MHz) and low hysteresis (less than 3%RH) to environmental humidity changes. Meanwhile, the humidity response of the sensor is rapid, highly repeatable and stable, which endows the sensor a fast and accurate response to the approach of a human finger. Moreover, by leveraging the different reactions of the sensor to the finger approaching and staying for various lengths of time, the noncontact information input can be realized in the form of Morse code.
引用
收藏
页码:126 / 129
页数:4
相关论文
共 50 条
  • [41] Sensor Networks for Aerospace Human-Machine Systems
    Pongsakornsathien, Nichakorn
    Lim, Yixiang
    Gardi, Alessandro
    Hilton, Samuel
    Planke, Lars
    Sabatini, Roberto
    Kistan, Trevor
    Ezer, Neta
    SENSORS, 2019, 19 (16)
  • [42] Interaction force modeling and analysis of the human-machine kinematic chain based on the human-machine deviation
    Zhou, Xin
    Duan, Zhisheng
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [43] SrTiO3/CuNi-Heterostructure-Based Thermopile for Sensitive Human Radiation Detection and Noncontact Human-Machine Interaction
    Guo, Xiaohan
    Lu, Xiaowei
    Jiang, Peng
    Bao, Xinhe
    ADVANCED MATERIALS, 2022, 34 (35)
  • [44] EEG in Dual-Task Human-Machine Interaction: On the Feasibility of EEG based Support of Complex Human-Machine Interaction
    Kirchner, E. A.
    Kim, S. K.
    Fahle, M.
    PERCEPTION, 2013, 42 : 220 - 220
  • [45] MODELING HUMAN-MACHINE INTERACTION FOR THE ASSESSMENT OF HUMAN RELIABILITY
    Schwencke, Daniel
    Grippenkoven, Jan
    Lemmer, Karsten
    RAIL HUMAN FACTORS: SUPPORTING RELIABILITY, SAFETY AND COST REDUCTION, 2013, : 707 - 717
  • [46] Flexible Optical Fiber-Based Smart Textile Sensor for Human-Machine Interaction
    Li, Tianliang
    Qiao, Feng
    Huang, Ping'an
    Su, Yifei
    Wang, Liang
    Li, Xiong
    Li, Huipeng
    Tan, Yuegang
    Zhou, Zude
    IEEE SENSORS JOURNAL, 2022, 22 (20) : 19336 - 19345
  • [47] A novel triboelectric-optical hybrid tactile sensor for human-machine tactile interaction
    Yang, Hui
    Bu, Tianzhao
    Liu, Wenbo
    Liu, Jiaqi
    Ling, Yunzhi
    Wu, Meixia
    Liu, Weirui
    Wang, Changan
    Gao, Xifeng
    Wang, Lihui
    NANO ENERGY, 2024, 125
  • [48] Hollow Polyaniline Microspheres Decorated Fabric Sensor with Electromagnetic Wave-Absorbing and Multimodal Sensing Toward Human-Machine Interaction
    Wang, Jun
    Yan, Kai
    Li, Xiao
    Zong, Yan
    Xu, Qunna
    Sun, Xiaodan
    ADVANCED FUNCTIONAL MATERIALS, 2024,
  • [49] Bioinspired kinesthetic system for human-machine interaction
    Shan, Liuting
    Liu, Yaqian
    Zhang, Xianghong
    Li, Enlong
    Yu, Rengjian
    Lian, Qiming
    Chen, Xiang
    Chen, Huipeng
    Guo, Tailiang
    NANO ENERGY, 2021, 88
  • [50] Interaction Principles for Cooperative Human-Machine Systems
    Bengler, Klaus
    Zimmermann, Markus
    Bortot, Dino
    Kienle, Martin
    Damboeck, Daniel
    IT-INFORMATION TECHNOLOGY, 2012, 54 (04): : 157 - 163