Near-Field Constrained Design for Self-Tuning UHF-RFID Antennas

Bianco, Giulio Maria; Amendola, S.; Marrocco, Gaetano

doi:10.1109/tap.2020.2995315

Cited by 26 publications

(11 citation statements)

References 13 publications

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“…where B IC (s) = 2πf C IC (s) and B A ( ) are the susceptances of the IC and the antenna, respectively, is the dielectric constant of the touched object, and f is the frequency. Equations ( 1) and ( 2) hold in a linear range S min ≤ s ≤ S max , outside which saturation occurs [18]. In the linear range, the index s can be related to the antenna input parameters by inverting (2) and accounting for the saturation [26] s…”

Section: A Dielectric Sensing By Auto-tuning Rfid Icsmentioning

confidence: 99%

“…The fingertip sensor is numerically simulated 1 when it is placed on a homogeneous phantom of the hand (from [18]). Fig.…”

Section: A Impedance Matchingmentioning

confidence: 99%

“…Furthermore, the R-FADs are also promising enablers for the Tactile Internet [17], even though current UHF devices still lack high data-rate low latency. Very recently [16], [18], [19], dielectric sensing R-FADs exploited the automatic variation of the impedance of the fingertip sensor's IC (integrated circuit) to sense the dielectric constant of the touched material. This architecture has a potential medical application as an assistive tool for visually impaired people since the provided feedback can help them recognize the material of the object they are handling or touching [16].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sensing Performance of Multi-Channel RFID-Based Finger Augmentation Devices for Tactile Internet

Naccarata

Bianco

Marrocco

2022

IEEE J. Radio Freq. Identif.

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Radiofrequency finger augmentation devices (R-FADs) are a recently introduced class of epidermal radiofrequency identification (RFID) sensor-tags attached to the fingers, communicating with a body-worn reader. These devices are promising candidates to enable Tactile Internet (TI) applications in the short term. R-FAD based on auto-tuning RFID microchips can be used as dielectric probes for the material of touched objects. However, due to the nearly unpredictable intrinsic variability of finger-object interaction, a single sensorized finger (single-channel device) is not enough to guarantee reliable data sampling. These limitations can be overcome by exploiting a multi-channel R-FAD sensorizing multiple fingers of the hand. In this paper, the dielectric-sensing performance of a multi-channel R-FAD, composed of sensors encapsulated into soft elastomers, is numerically and experimentally characterized, involving a set of volunteers. The inter-sensor coupling is negligible, thus enabling simultaneous independent dielectric measurements. The multi-sensor configuration allows for 100% reliability of the onhand communication link for touched objects in a wide range of permittivity. Experiments moreover demonstrate that multichannel measurements can halve the measurement uncertainty of the single-channel case. The achievable precision is suitable to discriminate among low-, medium-, and high-permittivity materials.

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Section: A Dielectric Sensing By Auto-tuning Rfid Icsmentioning

confidence: 99%

“…The fingertip sensor is numerically simulated 1 when it is placed on a homogeneous phantom of the hand (from [18]). Fig.…”

Section: A Impedance Matchingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensing Performance of Multi-Channel RFID-Based Finger Augmentation Devices for Tactile Internet

Naccarata

Bianco

Marrocco

2022

IEEE J. Radio Freq. Identif.

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“…where f is the frequency, and B A is the susceptance of the tag's antenna. Equation (1) holds for N min ≤ n ≤ N max , whereas outside of this range, there is saturation [13]. Auto-tuning ICs return a digital metric, hereafter denoted as sensor code (SC), which is directly proportional to n by inverting (1) and accounting for the saturation where nint(x) is the nearest integer to x. User-specific baselines can be removed through calibration with respect to the sensor code SC 0 returned just after the placement on the face, thus obtaining a differential sensor code [14], SC = SC measured − SC 0 .…”

Section: Sensing By Auto-tuning Icsmentioning

confidence: 99%

“…The twill woven substrate hosts a symmetric loop-matched [16] meandered dipole [ Fig. 1(a)] that is connected to an Axzon S3 Magnus auto-tuning IC [13] with parameters N min = 80, N max = 420, G IC = 0.482 mS, C min = 1.9 pF, C max = 2.9 pF, and power threshold p IC = −16.6 dBm. Accordingly, the resulting IC susceptance can retune in the range 10.3 mS ≤ B IC ≤ 15.8 mS at 866 MHz, and the corresponding middle-range impedance is Z IC = 2.8 − j76.1 .…”

Section: Textile Moisture Sensor Tagmentioning

confidence: 99%

Sensorized Facemask With Moisture-Sensitive RFID Antenna

Bianco

Marrocco

2021

IEEE Sens. Lett.

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Due to the ongoing COVID-19 pandemic, the use of filtering facepiece respirators (FFRs) is increasingly widespread. Since the masks' wetness can reduce its filtering capabilities, the World Health Organization advises to replace the FFRs if they become too damp, but currently, there is no practical way to monitor the masks' wetness. A low-cost moisture sensor placed inside the FFRs could discriminate a slightly damp mask from a wet one, which must be replaced. In this letter, a radio frequency identification (RFID) tag exploiting an auto-tuning microchip for humidity sensing is designed and tested during an ordinary working day and a physical exercise. The tag returns about 1 unit of the digital metric every 3 mg of water generated by breathing and sweating, and it can identify excessively wet masks from commonly used ones.

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