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

Ye, Yong; He, Chunlong; Liao, Bin; Qian, Gongbin

doi:10.1109/jsen.2018.2840093

Cited by 34 publications

(13 citation statements)

References 18 publications

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“…Ye et al [101] used c to replace c in the above equation for eliminating the calculation error caused by the influence of electrode position, which can lead to the differences among the initial capacitances. Nelson et al [99], [100] proposed the two gesture recognition algorithms, DTW and an algorithm combined with HMM and DTW, to recognize the EdgeWrite gestures which are alphanumeric gestures.…”

Section: ) Gesture Recognition and Posture Trackingmentioning

confidence: 99%

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

et al. 2020

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Capacitive proximity sensors (CPSs) are ubiquitous because of their simple design, low cost and low consumption. Capacitive displacement sensing, as one of the three sensing modalities, works for long distance and can be unitized to measure more physical quantities compared with capacitive volume and deformation sensing. In this paper, we firstly introduce the concept of capacitive displacement sensing. After that, we present applications of capacitive displacement sensing under three broad categories: distance measurements, indirect measurements, and the applications applied in smart environments. Finally, we discuss the challenges and possible solutions for CPSs development. We show that both the detection range and accuracy of CPS can be improved by multi-sensor fusion, and the application scenarios can be extensive through machine/deep learning approaches. We aim to provide a comprehensive, and state-of-theart review of the capacitive displacement sensing, and inspire more researchers and developers to find wide application perspectives.INDEX TERMS Capacitive proximity sensor (CPS), capacitive displacement sensing, distance measurement, indirect measurement, smart environment.

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Section: ) Gesture Recognition and Posture Trackingmentioning

confidence: 99%

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

et al. 2020

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“…Among various types of image sensors, proximity capacitance image sensors detect twodimensional proximity capacitance information between sensors and targets. The proximity capacitance discrete sensors and image sensors have been developed and employed in various industrial and biometric applications, such as in fingerprint sensors [1][2][3][4] , humanmachine interface 5) , liquid level detection for manufacturing plants, capacitance manometer for gas pressure detection, non-destructive electrical capacitance tomography [6][7] , inspection equipment for flat panel display and printed circuit boards 8) . Furthermore, researches are actively conducted towards visualization and measurement of cell reactions in the biological and medical fields [9][10][11][12] .…”

Section: Introductionmentioning

confidence: 99%

[Invite Paper] High Accuracy High Spatial Resolution and Real-Time CMOS Proximity Capacitance Image Sensor Technology and its Applications

Kuroda

Yamamoto

Sugama

et al. 2021

MTA

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Recently we have presented proximity capacitance CMOS image sensors with 0.1 aF detection accuracy with advanced noise cancelling [18][19][20][21] . In this paper, the proximity capacitance CMOS image sensor technology with high detection accuracy, high spatial resolution and real-time detection and its applications are presented.The proposed circuit architecture, working principles, structure and its applications will be described in detail in the following sections.

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“…Zhang et al [ 12 ] applied a conductive paint pattern onto a wall to track human poses. Ye et al [ 13 ] proposed a high-performance capacitance sensor array by introducing a high sensitivity capacitance measuring circuit and grounded shields around each sensor. However, the sensor array method usually requires complex design of hardware and manufacturing, making it difficult to integrate into arbitrary-shaped devices.…”

Section: Introductionmentioning

confidence: 99%

Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking

Yoshimoto

Yamamoto

2021

Sensors

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This paper proposes a proximity imaging sensor based on a tomographic approach with a low-cost conductive sheet. Particularly, by defining capacitance density, physical proximity information is transformed into electric potential. A novel theoretical model is developed to solve the capacitance density problem using the tomographic approach. Additionally, a prototype is built and tested based on the model, and the system solves an inverse problem for imaging the capacitance density change that indicates the object’s proximity change. In the evaluation test, the prototype reaches an error rate of 10.0–15.8% in horizontal localization at different heights. Finally, a hand-tracking demonstration is carried out, where a position difference of 33.8–46.7 mm between the proposed sensor and depth camera is achieved at 30 fps.

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

Cited by 34 publications

References 18 publications

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor

[Invite Paper] High Accuracy High Spatial Resolution and Real-Time CMOS Proximity Capacitance Image Sensor Technology and its Applications

Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking

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