Sensor integrated RFID tags driven by energy scavenger for sustainable wearable electronics applications

Rasheed, Ahmed; Iranmanesh, Emad; Andrenko, Andrey S.; Wang, Kai

doi:10.1109/rfid-ta.2016.7750757

Cited by 11 publications

(6 citation statements)

References 19 publications

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“…Munzenrieder et al used a self-alignment process to realize a BCE As the technology is developing, the application of oxide-based TFTs is not restricted to displays. For example, TFTs have been employed in integrated circuits, like ring oscillators, amplifiers, logic gates, radiofrequency identification (RFID) systems and so on [39,53,55,90,94,95,[163][164][165][166][167][168][169]. It is necessary for TFTs to enhance their maximum power gain frequency and to reduce the parasitic capacitance between electrodes.…”

Section: Polyimide (Pi) Flexible Substratementioning

confidence: 99%

Research Progress on Flexible Oxide-Based Thin Film Transistors

Zhang

Xiao

et al. 2019

Applied Sciences

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Oxide semiconductors have drawn much attention in recent years due to their outstanding electrical performance, such as relatively high carrier mobility, good uniformity, low process temperature, optical transparency, low cost and especially flexibility. Flexible oxide-based thin film transistors (TFTs) are one of the hottest research topics for next-generation displays, radiofrequency identification (RFID) tags, sensors, and integrated circuits in the wearable field. The carrier transport mechanism of oxide semiconductor materials and typical device configurations of TFTs are firstly described in this invited review. Then, we describe the research progress on flexible oxide-based TFTs, including representative TFTs fabricated on different kinds of flexible substrates, the mechanical stress effect on TFTs and optimized methods to reduce this effect. Finally, an outlook for the future development of oxide-based TFTs is given.

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Section: Polyimide (Pi) Flexible Substratementioning

confidence: 99%

Research Progress on Flexible Oxide-Based Thin Film Transistors

Zhang

Xiao

et al. 2019

Applied Sciences

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“…where and are piezoelectric coefficients in 33 and 31 directions, respectively, L and t are the length and thickness of PVDF film and F 31 and F 33 are forces in 33 and 31 directions, respectively. We have conducted a preliminary study on device physics and demonstrated various potential applications of PCGTFT in tactile sensing, energy harvesting, and heart rate monitoring [4] [5].…”

Section: B) Mechanical-field Coupled Tft As a Force Sensormentioning

confidence: 99%

35‐2: Invited Paper: Field‐Coupled Thin‐Film Transistors for Emerging Non‐Display Applications

Wang

2017

Symp Digest of Tech Papers

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“…For the RFID tag-integrated sensor in manufacturing industry applications, RF energy harvesting is the most reliable approach. Investigations involving the application of RFID tag-integrated sensors in wearable electronics, structure monitoring, indoor environment monitoring, and location and navigation have generated research interest [ 21 , 22 , 23 ]. However, there are still research blanks related to the design of a flexible and low-cost RFID tag-integrated sensor for the manufacturing line environment and product sensing and to the development of efficient product QAS methods.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Assisted RFID Tag-Integrated Multi-Sensor for Quality Assessment and Sensing

Song,

2024

Sensors

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Radio frequency identification (RFID) is well known as an identification, track, and trace approach and is considered to be the key physical layer technology for the industrial internet of things (IIoT). However, IIoT systems have to introduce additional complex sensor networks for pervasive monitoring, and there are still challenges related to item-level sensing and data recording. To overcome the shortage, this work proposes an artificial intelligence (AI)-assisted RFID-based multi-sensing technology. Both passive and semi-passive RFID tag-integrated multi-sensors are developed. The main contributions and the novelty of this investigation are as follows. A UHF RFID tag-integrated multi-sensor with a boosted charge pump is proposed; it enables high RF signal sensitivity and a long operational range. The whole hardware design, including the antenna and energy harvester, are studied. Moreover, a demonstration with real-world ham product sensing data is conducted. This work also proposes and successfully demonstrates the integration of machine learning algorithms, specifically the NARX neural network, with RFID sensing data for food product quality assessment and sensing (QAS). This application of machine learning to RFID-generated data for quality assessment is also a novel aspect of the research. The deployment of an autoregressive model with an exogenous input (NARX) neural network model, tailored for nonlinear processes, emerges as the most effective, achieving a root mean square error (RMSE) of 0.007 and an R-squared value of 0.99 for ham product QAS. By deploying the technology, low-cost, timely, and flexible product QAS can be achieved in manufacturing industries, which helps product quality improvement and the optimization of the manufacturing line and supply chain.

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Sensor integrated RFID tags driven by energy scavenger for sustainable wearable electronics applications

Cited by 11 publications

References 19 publications

Research Progress on Flexible Oxide-Based Thin Film Transistors

Research Progress on Flexible Oxide-Based Thin Film Transistors

35‐2: Invited Paper: Field‐Coupled Thin‐Film Transistors for Emerging Non‐Display Applications

Artificial Intelligence-Assisted RFID Tag-Integrated Multi-Sensor for Quality Assessment and Sensing

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