A Novel Method for Proximity Detection of Moving Targets Using a Large-Scale Planar Capacitive Sensor System

Ye, Yong; Deng, Jiahao; Shen, Sanmin; Zhuo, Hou; Liu, Yuting

doi:10.3390/s16050699

Cited by 30 publications

(10 citation statements)

References 22 publications

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“…Since signal follows the minimum impedance path, the major signal component passes through the path at the gap-edge of the electrode 27 . Therefore, the area near the gap between two electrodes has a relatively large ratio of electric field variables 28 . At the same time, most of particle interferences falls at the top of the electrode.…”

Section: Resultsmentioning

confidence: 99%

A Portable System to Monitor Saliva Conductivity for Dehydration Diagnosis and Kidney Healthcare

Huang

Lee

et al. 2019

Sci Rep

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Chronic kidney disease (CKD) has become a major issue in long-term healthcare. It is caused by recurrent kidney injury, which is possible induced by dehydration and heat stress. Therefore, it is important to access the dehydration diagnosis on fields. Conventional instruments for assessing dehydration from blood and urine samples are expensive and time-consuming. These disadvantages limit their applications in high-risk groups susceptible to kidney disease. To address this unmet need, this study presents a portable miniaturized device for dehydration diagnosis with clinical saliva samples. With co-plane coating-free gold electrodes, the dehydration diagnosis was achieved with a saliva specimen at low volumes (50–500 μL). To examine the characteristics, the developed device was assessed by using standard conductivity solutions and the examined variation was <5%. To validate the use for field applications, saliva samples were measured by the developed device and the measured results were compared with standard markers of serum osmolality (N = 30). These data indicate that the measured saliva conductivity is consistent with serum osmolality. And it shows significant difference between healthy adults and healthy farmers (p < 0.05), who typically suffer high risks of CKD. Based on this work, the proposed device and measurement offer a useful method to diagnosis dehydrations and indicate possible potential for CKD.

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Section: Resultsmentioning

confidence: 99%

A Portable System to Monitor Saliva Conductivity for Dehydration Diagnosis and Kidney Healthcare

Huang

Lee

et al. 2019

Sci Rep

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“…In our previous work, three 2 Journal of Sensors 3 Journal of Sensors electrode-connecting types that result in comb-structure, adjacent two-rectangular configuration, and two-edge patterns have been investigated [12]. According to Ye et al, electrodes with a spiral shape perform well in terms of dynamic range and sensitivity distribution homogeneity compared to those with the other shapes [15]. In this work, electrodes are connected as a symmetric structure, depicted in Figure 2(a), to mimic the spiral shape.…”

Section: Methodsmentioning

confidence: 99%

Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation

et al. 2019

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The accuracy of a capacitive proximity sensor is affected by various factors, including the geometry and composition of the nearby object. The quantitative regression models that are used to seek out the relationship between the measured capacitances and distances to objects are highly dependent on the geometrical properties of the objects. Consequently, the application of capacitive proximity sensors has been mainly limited to detection of objects rather than estimation of distances to them. This paper presents a capacitive proximity sensing system for the detection of metallic objects with improved accuracy based on target profile estimation. The presented approach alleviates large errors in distance estimation by implementing a classifier to recognize the surface profiles before using a suitable regression model to estimate the distance. The sensing system features an electrode matrix that is configured to sweep a series of inner-connection patterns and produce features for profile classification. The performance of the sensing modalities is experimentally assessed with an industrial robot. Two-term exponential regression models provide a high degree of fittings for an object whose shape is known. Recognizing the shape of the object improved the regression models and reduced the close-distance measurement error by a factor of five compared to methods that did not take the geometry into account. The breakthroughs made through this work will make capacitive sensing a viable low-cost alternative to existing technologies for proximity detection in robotics and other fields.

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“…A complete analytical solution is possible by solving the Laplace equation, but only for a few simplified problems [ 12 ]. In recent studies, it has been shown that simulations with the FEM are an appropriate technique to investigate individual sensor properties of real capacitive sensor geometries [ 21 , 22 ].…”

Section: Fem Simulation Of the Capacitance Of Parallel Plate Capacitormentioning

confidence: 99%

Influence of Geometric Properties of Capacitive Sensors on Slope Error and Nonlinearity of Displacement Measurements

Daul

Jin

Busch

et al. 2021

Sensors

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Capacitive sensors are widely used in industrial applications, such as CNC machine tools, where reliable positioning in the micrometer range with nanometer accuracy is required. Hence, these sensors are operated in harsh industrial environments. The accuracy of these sensors is mainly limited by slope errors and nonlinearities. In practice, the required accuracy of these sensors is achieved by a calibration against a metrological high-quality reference such as interferometric displacement measurement systems. This usually involves the use of high-order polynomials as calibration functions based on empirical data. In metrology, this is only the second-best approach and has disadvantages in terms of stability over the measurement range of the instrument. In addition, the validity of these empirical calibrations over time is questionable, and the associated uncertainty can only be roughly estimated. This makes regular recalibration of such sensors at short intervals mandatory to ensure the reliability of the displacement measurement. In this paper, we report on our investigations of the different parameters that affect the accuracy of capacitive sensors. Since the capacitance of these sensors results from the electric fields that build up between the electrodes, these field lines are calculated using FEM simulation models for typical commercial sensors. In the following the influence of various geometric parameters such as edge radius, guard ring size and shape, or thickness of the electrodes are individually analyzed according to their impact on the accuracy of these sensors. Based on these simulations, the deviations of the capacitance as they arise for real detector geometries can then be compared with idealized, de facto unrealizable parallel plate capacitors. This methodology allows overall uncertainty of capacitive sensors to be decomposed into their individual components and sorted in terms of their contribution to the uncertainty budget. The individual FEM-based analysis then enables a systematic analysis of the sources of uncertainty and, thus, reveals possibilities to improve manufacturing processes for capacitive sensors, to put these sensors on a solid metrological basis, and to improve the performance of these displacement measurement systems in the long run, i.e., to provide better sensors for the application.

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A Novel Method for Proximity Detection of Moving Targets Using a Large-Scale Planar Capacitive Sensor System

Cited by 30 publications

References 22 publications

A Portable System to Monitor Saliva Conductivity for Dehydration Diagnosis and Kidney Healthcare

A Portable System to Monitor Saliva Conductivity for Dehydration Diagnosis and Kidney Healthcare

Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation

Influence of Geometric Properties of Capacitive Sensors on Slope Error and Nonlinearity of Displacement Measurements

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