Experimentation and calibration of Near-Field UHF Epidermal Communication for emerging Tactile Internet

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

doi:10.23919/splitech49282.2020.9243753

Cited by 7 publications

(8 citation statements)

References 14 publications

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“…Possible baselines caused by the specific manufacturing of the fingertip sensor can be removed by employing a differential sensor code (∆s) [19] ∆s where s (1) is the calibration value obtained when the hand is not touching anything ( = 1).…”

Section: A Dielectric Sensing By Auto-tuning Rfid Icsmentioning

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%

“…The practical possibility to collect well separable data when touching the different materials is the rationale to apply a classification procedure for the recognition of the touched object. Preliminary tests evidenced that reader-finger communication can be critical due to the unpredictable modality of fingerobject interaction, such as the touch pressure and the interuser variability [19]. Indeed, the specific morphology of the hand and the grasping gesture is such that the measured data can be highly dependent on the specific sensorized finger.…”

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%

Section: Introductionmentioning

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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“…These devices have an electronic surface and should be worn on the tip of the fingers. In [81,82], the radio-frequency finger augmented device (wireless) is considered to be a promising enabler for TI. This wireless system comprising of a reader worn on the wrist and a sensing tag worn on the fingertip makes use of an ultra-high frequency band ranging from 860 MHz to 960 MHz.…”

Section: Unlicensed Band and Morementioning

confidence: 99%

A Survey of the Tactile Internet: Design Issues and Challenges, Applications, and Future Directions

2021

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The Tactile Internet (TI) is an emerging area of research involving 5G and beyond (B5G) communications to enable real-time interaction of haptic data over the Internet between tactile ends, with audio-visual data as feedback. This emerging TI technology is viewed as the next evolutionary step for the Internet of Things (IoT) and is expected to bring about a massive change in Healthcare 4.0, Industry 4.0 and autonomous vehicles to resolve complicated issues in modern society. This vision of TI makes a dream into a reality. This article aims to provide a comprehensive survey of TI, focussing on design architecture, key application areas, potential enabling technologies, current issues, and challenges to realise it. To illustrate the novelty of our work, we present a brainstorming mind-map of all the topics discussed in this article. We emphasise the design aspects of the TI and discuss the three main sections of the TI, i.e., master, network, and slave sections, with a focus on the proposed application-centric design architecture. With the help of the proposed illustrative diagrams of use cases, we discuss and tabulate the possible applications of the TI with a 5G framework and its requirements. Then, we extensively address the currently identified issues and challenges with promising potential enablers of the TI. Moreover, a comprehensive review focussing on related articles on enabling technologies is explored, including Fifth Generation (5G), Software-Defined Networking (SDN), Network Function Virtualisation (NFV), Cloud/Edge/Fog Computing, Multiple Access, and Network Coding. Finally, we conclude the survey with several research issues that are open for further investigation. Thus, the survey provides insights into the TI that can help network researchers and engineers to contribute further towards developing the next-generation Internet.

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“…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 . Since B A is unknown in real use, the relationship SC(ψ ) must be determined through an experimental calibration curve, as shown in the following.…”

Section: Sensing By Auto-tuning Icsmentioning

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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Experimentation and calibration of Near-Field UHF Epidermal Communication for emerging Tactile Internet

Cited by 7 publications

References 14 publications

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

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

A Survey of the Tactile Internet: Design Issues and Challenges, Applications, and Future Directions

Sensorized Facemask With Moisture-Sensitive RFID Antenna

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