Capacitive Proximity Sensor Array With a Simple High Sensitivity Capacitance Measuring Circuit for Human-Computer Interaction

被引:35
|
作者
Ye, Yong [1 ]
He, Chunlong [1 ,2 ]
Liao, Bin [1 ]
Qian, Gongbin [1 ]
机构
[1] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
关键词
Proximity sensor; human-computer interaction; capacitance measuring circuit; hand position tracking; TOMOGRAPHY; SYSTEMS;
D O I
10.1109/JSEN.2018.2840093
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
Capacitive proximity sensor uses electric fields to detect contactless objects like human body. Owing to its simplicity and low cost, it is an attractive choice for the application of human-computer interaction. For existing capacitive proximity sensor systems, their detection ranges are less than 20 cm that cannot meet the requirements of the applications for long distance sensing. This motivates us to develop a new capacitive proximity sensor system for human-computer interaction in this paper. A capacitive sensor array, which consists of 4 x 4 sensor units with comb shapes, is first designed. The dimensions of the whole array and a single unit are, respectively, 30 cm x 30 cm and 4 cm x 4 cm, which are comprehensively considered with hand swing distance in natural state and the sensing distance. More specifically, an outer guard with a lattice-like structure which encloses sensor cells is designed to reduce the crosstalk from its neighboring cells, and a simple capacitance measuring circuit is presented. Comparing to the charge/discharge, ac-based and CDC-chip-based capacitance measuring circuit, the proposed measuring circuit offers plain design, highest sensitivity (3.53 V/pF), and fastest speed (4 mu s). The experimental results show that the system can capture hand motion up to 45 cm and get hand motion trajectory using the hand position tracking algorithm. These features indicate that the proposed system is very suitable for human-computer interaction applications in the future, such as rehabilitation training and somatosensory game.
引用
收藏
页码:5906 / 5914
页数:9
相关论文
共 50 条
  • [31] Wearable Perovskite-Based Shadow Recognition Sensor for Ambient and Nonobtrusive Human-Computer Interaction
    Wu, Tingqing
    Huang, Zengqi
    Li, Lin
    Sun, Wei
    Xue, Tangyue
    Pan, Qi
    Xie, Hongfei
    Chen, Sisi
    Guo, Lutong
    Chi, Jimei
    Wang, Huadong
    Zhang, Zeying
    Han, Teng
    Su, Meng
    Song, Yanlin
    ADVANCED INTELLIGENT SYSTEMS, 2023, 5 (01)
  • [32] 3D contact force sensor for assisted rehabilitation robot human-computer interaction
    Bai Dianchun
    Hu Jun
    Wen Mingliang
    Dong Jian
    Sun Yiming
    Fukuda, Toshio
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 2804 - 2807
  • [33] Luminescent Tactile Sensor System for Robots: Enhancing Human-Computer Interaction in Complex Dark Environments
    Yin, Jiaxin
    Cao, Zhi
    Zhou, Yuxuan
    Huo, Xiaoqing
    Wu, Zhiyi
    SMALL, 2025, 21 (08)
  • [34] Human-computer interaction system for hand recognition based on depth information from Kinect sensor
    Shen, Yangtai
    Ye, Qing
    PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING, 2016, 32 : 335 - 341
  • [35] IPMC Sensor Integrated Smart Glove for Pulse Diagnosis, Braille Recognition, and Human-Computer Interaction
    Ming, Yue
    Yang, Ying
    Fu, Ruo Ping
    Lu, Chao
    Zhao, Lei
    Hu, Yi Ming
    Li, Cheng
    Wu, Yan Xiao
    Liu, Hao
    Chen, Wei
    ADVANCED MATERIALS TECHNOLOGIES, 2018, 3 (12):
  • [36] Ultrasensitive electrospinning fibrous strain sensor with synergistic conductive network for human motion monitoring and human-computer interaction
    Wang, Jingwen
    Liu, Shun
    Chen, Zhaoyang
    Shen, Taoyu
    Wang, Yalong
    Yin, Rui
    Liu, Hu
    Liu, Chuntai
    Shen, Changyu
    JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 213 : 213 - 222
  • [37] RF-Brush: 3D Human-Computer Interaction via Linear Tag Array
    Gong, Yinyin
    Xie, Lei
    Wang, Chuyu
    Bu, Yanling
    Lu, Sanglu
    2018 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS), 2018, : 290 - 298
  • [38] Multifunctional Human-Computer Interaction System Based on Deep Learning-Assisted Strain Sensing Array
    Gu, Hao
    Jiang, Ke
    Yu, Fei
    Wang, Liying
    Yang, Xijia
    Li, Xuesong
    Jiang, Yi
    Lu, Wei
    Sun, Xiaojuan
    ACS APPLIED MATERIALS & INTERFACES, 2024, 16 (40) : 54496 - 54507
  • [39] Towards meaningful high-dimensional nearest neighbor search by human-computer interaction
    Aggarwal, CC
    18TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS, 2002, : 593 - 604
  • [40] A novel capacitive sensor featuring surface microstructure and hydrogels for measuring full pressure with high-sensitivity
    Fan, Leijin
    Liu, Yuantao
    Yang, Xiaofeng
    Sun, Hu
    SENSORS AND ACTUATORS A-PHYSICAL, 2024, 370