Indoor Object Sensing Using Radio-Frequency Identification With Inverse Methods

Xu, Guoyi; Sharma, Pragya; Hysell, D. L.; Kan, Edwin C.

doi:10.1109/jsen.2021.3086700

Cited by 8 publications

(2 citation statements)

References 45 publications

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“…Finally, we should note that the RF harmonic transponder could also include the energy-efficient radio frequency identification (RFID) chip with memory and the backscatter transistor such that identification can be performed along with sensing. − The ID data path is picked up by the RFID reader, so the proposed smart face mask can be either used as a pure sensor (chipless) or sensor with ID (chip-enabled) underneath the standard RFID operating protocols. In addition, the recorded cough events, including the amplitude and number of peaks in the time-domain data (Figures and ), can be analyzed using intelligent algorithms, such as machine learning and deep learning methods, − for recognizing features (e.g., dry cough, productive wet cough, or chesty cough) that correspond to different respiratory diseases.…”

Section: Results and Discussionmentioning

confidence: 99%

A Breathable, Reusable, and Zero-Power Smart Face Mask for Wireless Cough and Mask-Wearing Monitoring

Ling

Yang

et al. 2022

ACS Nano

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We herein introduce a lightweight and zero-power smart face mask, capable of wirelessly monitoring coughs in real time and identifying proper mask wearing in public places during a pandemic. The smart face mask relies on the compact, battery-free radio frequency (RF) harmonic transponder, which is attached to the inner layer of the mask for detecting its separation from the face. Specifically, the RF transponder composed of miniature antennas and passive frequency multiplier is made of spray-printed silver nanowires (AgNWs) coated with a poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) passivation layer and the recently discovered multiscale porous polystyrene-block-poly(ethylene-ran-butylene)-block-polystyrene (SEBS) substrate. Unlike conventional on-chip or on-board wireless sensors, the SEBS-AgNWs/PEDOT:PSS-based RF transponder is lightweight, stretchable, breathable, and comfortable. In addition, this wireless device has excellent resilience and robustness in long-term and repeated usages (i.e., repeated placement and removal of the soft transponder on the mask). We foresee that this wireless smart face mask, providing simultaneous cough and mask-wearing monitoring, may mitigate virus-transmissive events by tracking the potential contagious person and identifying mask-wearing conditions. Moreover, the ability to wirelessly assess cough frequencies may improve diagnosis accuracy for dealing with several diseases, such as chronic obstructive pulmonary disease.

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Section: Results and Discussionmentioning

confidence: 99%

A Breathable, Reusable, and Zero-Power Smart Face Mask for Wireless Cough and Mask-Wearing Monitoring

Ling

Yang

et al. 2022

ACS Nano

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“…Internet of Things (IoT) continues to drive smart homes, smart cities, smart manufacturing, and digital agriculture with prolific RF transceivers [13], [14], [15], many requiring accurate phase measurements of channel propagation. These include high-precision detection and location [16], [17], [18], [19], tracking and mapping [20], [21], and monitoring of vital signs [22], [23]. When building large-scale multi-static systems using certain commercial products, e.g., software defined radio (SDR) platforms or RF system-on-chip (SoC) [24], non-ideal phase offsets need to be calibrated over channels without shared PLL.…”

Section: Introductionmentioning

confidence: 99%

Phase Offset Calibration in Multi-Channel Radio-Frequency Transceivers

Xu,

Kan

2024

IEEE J. Microw.

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Phase measurements by the quadrature scheme in radio transceivers can be applied to phase-sensitive applications like precision multi-static 3D localization. However, measurements at different channels with individual local oscillators suffer from random phase offsets due to non-repeatable initial phases of phase-locked loops in frequency synthesizers. In this paper, a novel phase calibration method is proposed to cancel out both the random and systematic time-invariant phase offsets at the superheterodyne receiver frontends. Direct phase offset measurements and on-site calibration are made possible by additional hardware connections, achieving simple implementation and accurate differential phase measurements without relying on bandwidth resources. The proposed calibration method generates repeatable phases for each device reboot with standard deviation less than 2 degrees, which translates to 0.9 mm ranging accuracy for 1.8 GHz carrier frequency. This method can also be flexibly extended to accommodate a broad range of practical network scenarios with more channels, various network topologies, and a wider bandwidth.INDEX TERMS Multi-channel radio transceivers, phase calibration, phase locked loops (PLL), radio frequency (RF), software defined radios (SDR).

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A machine learning approach for package size estimation using UHF RFID interrogation signature

Vales-Alonso,

López-Matencio

2024

Appl Intell

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This paper introduces a new approach for performing package classification and sizing using Radio-Frequency Identification (RFID) systems. This technique is applicable when packages are labeled with or contain multiple RFID-tagged items. During the interrogation of the tags, received signal strength (RSS) statistics and other information, such as the frame count or the reading time, are collected by the reader and used to predict the package type from a set of candidate classes using an Artificial Neural Network (ANN). The primary challenge lies in acquiring sufficient training data for a target scenario to ensure reliable predictions. To address this, a two-phase training process based on transfer learning is adopted. Initially, a base model is developed using synthetic data generated from a detailed RFID simulator, designed to suit diverse scenarios, establish detailed link budgets, and comprehensively simulate the communication protocols. This model is then refined using a small dataset collected experimentally in the actual scenario. This method was validated in a real testbed with four different package types. The base model was trained using 1000 synthetic samples per package type (4000 in total), whereas the refined model was trained with a dataset consisting of only 25 real interrogation traces (samples) per package type (100 in total). The experimental samples were obtained using a software-defined radio unit, the Ettus B210 Universal Software Radio Peripheral (USRP) platform. This experiment achieved an accuracy of over 92%. In summary, this approach introduces a new feature to existing RFID setups, demonstrating potential for advanced package handling and cost optimization in the logistics sector.

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Indoor Object Sensing Using Radio-Frequency Identification With Inverse Methods

Cited by 8 publications

References 45 publications

A Breathable, Reusable, and Zero-Power Smart Face Mask for Wireless Cough and Mask-Wearing Monitoring

A Breathable, Reusable, and Zero-Power Smart Face Mask for Wireless Cough and Mask-Wearing Monitoring

Phase Offset Calibration in Multi-Channel Radio-Frequency Transceivers

A machine learning approach for package size estimation using UHF RFID interrogation signature

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