Flexible multimode antenna sensor with strain and humidity sensing capability for structural health monitoring

Zhang, Jiaqi; Li, Chun; Gao, Yang; Tan, Jianping; Xuan, Fu‐Zhen; Ling, Xiaofeng

doi:10.1016/j.sna.2022.113960

Cited by 15 publications

(3 citation statements)

References 66 publications

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“…A possible way to decouple the strain and humidity signal responses is by detecting the signals in different directions (e.g., longitudinal and transvers directions) of the sensor and training ML models for decoupling and prediction. [38]…”

Section: Humidity Sensing Performance Of the Gc Sensormentioning

confidence: 99%

3D Printed Conformal Strain and Humidity Sensors for Human Motion Prediction and Health Monitoring via Machine Learning

Hou,

Gao,

Gao

et al. 2023

Advanced Science

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Wearable sensors have garnered considerable attention due to their flexibility and lightweight characteristics in the realm of healthcare applications. However, developing robust wearable sensors with facile fabrication and good conformity remains a challenge. In this study, a conductive graphene nanoplate‐carbon nanotube (GC) ink is synthesized for multi jet fusion (MJF) printing. The layer‐by‐layer fabrication process of MJF not only improves the mechanical and flame‐retardant properties of the printed GC sensor but also bolsters its robustness and sensitivity. The direction of sensor bending significantly impacts the relative resistance changes, allowing for precise investigations of joint motions in the human body, such as those of the fingers, wrists, elbows, necks, and knees. Furthermore, the data of resistance changes collected by the GC sensor are utilized to train a support vector machine with a 95.83% accuracy rate for predicting human motions. Due to its stable humidity sensitivity, the sensor also demonstrates excellent performance in monitoring human breath and predicting breath modes (normal, fast, and deep breath), thereby expanding its potential applications in healthcare. This work opens up new avenues for using MJF‐printed wearable sensors for a variety of healthcare applications.

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Section: Humidity Sensing Performance Of the Gc Sensormentioning

confidence: 99%

3D Printed Conformal Strain and Humidity Sensors for Human Motion Prediction and Health Monitoring via Machine Learning

Hou,

Gao,

Gao

et al. 2023

Advanced Science

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show abstract

“…The pertinent data has been compiled and presented in Table 2. The model coefficients calculated using (7) and the data in Table 2 are a = [54.8 -6.04 0.166 0.121 -0.479] T . As a result, the calibration model takes the form of F( f 0 , h, a) = 54.8 − 6.04 f 0 + 0.166 f 2 0 + 0.121h − 0.479h 2 (9)…”

Section: Sensor Calibrationmentioning

confidence: 99%

“…This adaptability permits customization of frequency and application-specific responses [3]. Split ring resonators (SRR) [4] and complementary split ring resonators (CSRR) [5] are utilized extensively in numerous metamaterial-based microwave sensors and devices, such as filters [6], antennas [7], absorbers [8], and radars [9]. Their distinctive characteristics, including resonant behavior, magnetic response, and negative permeability, make them valuable components for augmenting the performance of microwave sensors.…”

Section: Introductionmentioning

confidence: 99%

New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization

Haq,

Koziel

2023

Sensors

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The design of high-performance complementary meta-resonators for microwave sensors featuring high sensitivity and consistent evaluation of dielectric materials is challenging. This paper presents the design and implementation of a novel complementary resonator with high sensitivity for dielectric substrate characterization based on permittivity and thickness. A complementary crossed arrow resonator (CCAR) is proposed and integrated with a fifty-ohm microstrip transmission line. The CCAR’s distinct geometry, which consists of crossed arrow-shaped components, allows for the implementation of a resonator with exceptional sensitivity to changes in permittivity and thickness of the material under test (MUT). The CCAR’s geometrical parameters are optimized to resonate at 15 GHz. The CCAR sensor’s working principle is explained using a lumped-element equivalent circuit. The optimized CCAR sensor is fabricated using an LPKF protolaser on a 0.762-mm thick dielectric substrate AD250C. The MUTs with dielectric permittivity ranging from 2.5 to 10.2 and thickness ranging from 0.5 mm to 1.9 mm are used to investigate the properties and calibrate the proposed CCAR sensor. A two-dimensional calibration surface is developed using an inverse regression modelling approach to ensure precise and reliable measurements. The proposed CCAR sensor is distinguished by its high sensitivity of 5.74%, low fabrication cost, and enhanced performance compared to state-of-the-art designs, making it a versatile instrument for dielectric characterization.

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A Microstructure‐Enhanced Dual‐Mode LC Sensor with a PSO‐BP Algorithm for Precise Detection of Temperature and Pressure

Miao,

Bi,

Gao

et al. 2024

Adv Funct Materials

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High‐sensitivity flexible wireless passive sensors with multiple parameters sensing capability are highly demanded for industrial production, structural health monitoring, and medical care. In this study, a microstructure‐enhanced temperature and pressure dual‐mode inductance capacitance (LC) sensor is developed with a particle swarm optimization‐back propagation (PSO‐BP) algorithm for simultaneous measurement of temperature and pressure. In the device, two interdigital electrodes connected at different parts of an inductor is used to realize dual‐mode measurement of pressure and temperature, with reduced volume and cost of the device as well as avoided interaction of the superimposed inductance. The sandpaper‐molded polydimethylsiloxane microstructures are employed to enhance the device sensitivity, with six and three times of improvement in temperature and pressure sensitivity, respectively. A PSO‐BP neural network suitable for regression analysis of low dimensional small sample data is constructed to achieve the simultaneous measurement of pressure and temperature with an accuracy up to 94%. Furthermore, investigations have proved the promising applications of the dual‐mode LC sensor in health monitoring of lithium‐ion batteries and detection of plantar pressure for medical care.

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Flexible multimode antenna sensor with strain and humidity sensing capability for structural health monitoring

Cited by 15 publications

References 66 publications

3D Printed Conformal Strain and Humidity Sensors for Human Motion Prediction and Health Monitoring via Machine Learning

3D Printed Conformal Strain and Humidity Sensors for Human Motion Prediction and Health Monitoring via Machine Learning

New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization

A Microstructure‐Enhanced Dual‐Mode LC Sensor with a PSO‐BP Algorithm for Precise Detection of Temperature and Pressure

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