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

Yong, Yan; Zhang, Chiya; He, Chunlong; Wang, Xi Vincent; Huang, Jianjun; Deng, Jiahao

doi:10.1109/access.2020.2977716

Cited by 116 publications

(45 citation statements)

References 125 publications

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“…In order to design a comprehensive framework by interpreting the fundamental background, comprehending the physical theories behind the capacitive sensing is essential [1]. A capacitive sensor measures the mutual capacitance interacting with nearby objects.…”

Section: Capacitive Theoriesmentioning

confidence: 99%

“…denotes the dielectric constant, o is an object, d indicates a distance and A s is the overlapping area between sensor s and a nearby object. Our final measurement V can be approximated to Equation (1) where Q denotes the amount of charges.…”

Section: Capacitive Theoriesmentioning

confidence: 99%

“…2 indicates that both raw signal without hand gesture (a), and the hand motion gesture signal (b) contain a significant amount of amplitudes in frequency range of under 50Hz. When computing the statistics: mean (µ(•)) and standard deviation (σ (•)) by the different ranges of frequencies, where [1,100] Hz, and its statistics in the identical column below are the values after the band-pass filter where the passband is [1, 100] Hz.…”

Section: Frequency Analysismentioning

confidence: 99%

“…Through EF disturbance caused by peripheral objects, it provides a novel methodology to be utilized in diverse domains by detecting target signals and controlling the machines through digitalization. Among the two main capacitive sensing mechanisms [1,2]: contact sensing and non-contact sensing, our focus lies on non-contact proximity sensing. In this paper, we propose an automated real-time hand motion gesture detection and classification system which controls the application's User Interface (UI) where the gesture classification output results will be used to control the UI.…”

Section: Introductionmentioning

confidence: 99%

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Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing

Lee¹,

Mandivarapu²,

Ogbazghi³

et al. 2022

Preprint

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Capacitive sensing is a prominent technology that is cost-effective and low power consuming with fast recognition speed compared to existing sensing systems. On account of these advantages, Capacitive sensing has been widely studied and commercialized in the domains of touch sensing, localization, existence detection, and contact sensing interface application such as human-computer interaction. However, as a non-contact proximity sensing scheme is easily affected by the disturbance of peripheral objects or surroundings, it requires considerable sensitive data processing than contact sensing, limiting the use of its further utilization. In this paper, we propose a real-time interface control framework based on non-contact hand motion gesture recognition through processing the raw signals, detecting the electric field disturbance triggered by the hand gesture movements near the capacitive sensor using adaptive threshold, and extracting the significant signal frame, covering the authentic signal intervals with 98.8% detection rate and 98.4% frame correction rate. Through the GRU model trained with the extracted signal frame, we classify the 10 hand motion gesture types with 98.79% accuracy. The framework transmits the classification result and maneuvers the interface of the foreground process depending on the input. This study suggests the feasibility of intuitive interface technology, which accommodates the flexible interaction between human to machine similar to Natural User Interface, and uplifts the possibility of commercialization based on measuring the electric field disturbance through non-contact proximity sensing which is state-of-the-art sensing technology.Preprint. Under review.

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Section: Capacitive Theoriesmentioning

confidence: 99%

Section: Capacitive Theoriesmentioning

confidence: 99%

Section: Frequency Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing

Lee¹,

Mandivarapu²,

Ogbazghi³

et al. 2022

Preprint

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“…To meet these requirements, different types of displacement measuring sensors are available, including capacitive sensors, linear encoders, and laser interferometers. In a short measurement range, capacitive sensors can obtain sub-nanometer resolution [1,2]. There are some disadvantages of capacitive sensors, such as sensitivity to temperature and humidity, short stand-off distance, and relatively low bandwidth [3,4].…”

Section: Introductionmentioning

confidence: 99%

A New Method to Verify the Measurement Speed and Accuracy of Frequency Modulated Interferometers

Tran

et al. 2021

Applied Sciences

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The measurement speed and measurement accuracy of a displacement measuring interferometer are key parameters. To verify these parameters, a fast and high-accuracy motion is required. However, the displacement induced by a mechanical actuator generates disadvantageous features, such as slow motion, hysteresis, distortion, and vibration. This paper proposes a new method for a nonmechanical high-speed motion using an electro-optic modulator (EOM). The method is based on the principle that all displacement measuring interferometers measure the phase change to calculate the displacement. This means that the EOM can be used to accurately generate phase change rather than a mechanical actuator. The proposed method is then validated by placing the EOM into an arm of a frequency modulation interferometer. By using two lock-in amplifiers, the phase change in an EOM and, hence, the corresponding virtual displacement could be measured by the interferometer. The measurement showed that the system could achieve a displacement at 20 kHz, a speed of 6.08 mm/s, and a displacement noise level < 100 pm//√Hz above 2 kHz. The proposed virtual displacement can be applied to determine both the measurement speed and accuracy of displacement measuring interferometers, such as homodyne interferometers, heterodyne interferometers, and frequency modulated interferometers.

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3D‐Printed Stacked Ionic Assemblies for Iontronic Touch Sensors

Odent

Baleine

Biard

et al. 2022

Adv Funct Materials

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Sensing is the process of detecting and monitoring any physico-chemical environmental parameters. Herein, new self-powered iontronic sensors, which utilize touch-induced ionic charge separation in ionically conductive hydrogels, are introduced for potential use in object mapping, recognition, and localization. This is accomplished using high-resolution stereolithography (SLA) 3D printing of stacked ionic assemblies consisting of discrete compartments having different ion transport properties. The latter assemblies readily allow programming the output voltage magnitude and polarity by means of variations in ion type, charge density, and cross-linking density within the iontronic device. Voltages of up to 70 mV are generated on application of compressive strains of as much as 50% (≈22.5 kPa), with the magnitude directly proportional to stress, and the polarity dependent on the sign of the mobile ion. As a proof-of-concept demonstration, the resulting touch sensors are integrated on the fingertip to enable the tactile feedback, mimicking the tactile perception of objects for recognition applications. In addition, it is proposed that streaming potential is the underlying mechanism behind the iontronic touch sensors. The electromechanical response is therein consistent with a streaming potential model.

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

Cited by 116 publications

References 125 publications

Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing

Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing

A New Method to Verify the Measurement Speed and Accuracy of Frequency Modulated Interferometers

3D‐Printed Stacked Ionic Assemblies for Iontronic Touch Sensors

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