Electromagnetic-based Correction of Bio-Integrated RFID Sensors for Reliable Skin Temperature Monitoring

Camera, Francesca; Marrocco, Gaetano

doi:10.1109/jsen.2020.3014404

Cited by 33 publications

(7 citation statements)

References 22 publications

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“…The duration of the transient when the wearer touches the bottle is estimated through the evaluation of the convergence error δ. The convergence error is used to derive the number of samples needed to obtain stable metrics and is defined as [34] δ also accounts for the effect of fluctuations. M 0 was evaluated through measurements of the sensor code when the fingertip sensors touched three times each liquid.…”

Section: B Measurement Time Windowmentioning

confidence: 99%

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: B Measurement Time Windowmentioning

confidence: 99%

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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“…Each fruit was assigned to a ripening class according to the measured SH and the scheme in Table I. For reducing fluctuations, a moving average was performed on a 7-samples window for each fruit, determined through a study on the convergence error [25]. After the filtering, signals were normalized with respect to their initial value.…”

Section: A Feature Selectionmentioning

confidence: 99%

Automatic Monitoring of Fruit Ripening Rooms by UHF RFID Sensor Network and Machine Learning

Occhiuzzi,

Camera,

D'Orazio

et al. 2022

Preprint

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Accelerated ripening through the exposure of fruits to controlled environmental conditions and gases is nowadays one of the most assessed food technologies, especially for climacteric and exotic products. However, a fine granularity control of the process and consequently of the quality of the goods is still missing, so the management of the ripening rooms is mainly based on qualitative estimations only. Following the modern paradigms of Industry 4.0, this contribution proposes a nondestructive RFID-based system for the automatic evaluation of the live ripening of avocados. The system, coupled with a properly trained automatic classification algorithm based on Support Vector Machines (SVMs), can discriminate the stage of ripening with an accuracy greater than 85%.

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“…The returned T tag data are the average over 12 samples having drop out the lowest and the highest values. Then, a power-based correction as in [9] is applied to account for the nonlinearity of the pn-junction temperature sensor onboard the IC as a consequence of the user-specific relative position w.r.t. the reader.…”

Section: B Measurement Set-upmentioning

confidence: 99%

“…Cattery-assisted-passive configurations can be adopted for continuous monitoring [6] without a reader. Preliminary tests in controlled conditions revealed that UHF WEDs can guarantee accuracy in the skin temperature measurement of 0.2°C in comparison with a precise thermocouple [9]. Unlike the NFC devices [5] (see Table 2 for further details), UHF WEDs can be interrogated up to 1.5 m [8], provided that at least a 3 × 3 cm antenna is used.…”

Section: Introductionmentioning

confidence: 99%

Experimental Assessment of Wireless Monitoring of Axilla Temperature by Means of Epidermal Battery-Less RFID Sensors

Camera¹,

Amato

Occhiuzzi

et al. 2020

IEEE Sens. Lett.

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Wireless epidermal devices (WEDs), based on UHF radio frequency identification (RFID), enable a contactless and noninvasive human body monitoring through sampling of health parameters directly on the skin. With reference to body temperature, this letter reports an experimental campaign aimed at assessing the degree of agreement of a batteryless plaster-like WED, placed in the armpit region, with a standard axilla thermocouple thermometer. A measurement campaign over 10 volunteers, for overall 120 temperature outcomes, revealed a good correlation among the instruments (Person's coefficient p = 0.78) and a difference of less than 0.6°C in the 95% of the measured cases, provided that a user-calibration is applied. RFID-WED enables a noncontacting reading up to 20 cm and direct connectivity with a cloud architecture. Envisaged applications are the periodic monitoring in clinical and domestic scenarios, as well as the screening of restricted communities related to COVID-19 control and recovery.

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Electromagnetic-based Correction of Bio-Integrated RFID Sensors for Reliable Skin Temperature Monitoring

Cited by 33 publications

References 22 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

Automatic Monitoring of Fruit Ripening Rooms by UHF RFID Sensor Network and Machine Learning

Experimental Assessment of Wireless Monitoring of Axilla Temperature by Means of Epidermal Battery-Less RFID Sensors

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