RFID Based Non-Contact Human Activity Detection Exploiting Cross Polarization

He, Xuanke; Zhu, Jiang; Su, Wenjing; Tentzeris, Manos M.

doi:10.1109/access.2020.2979080

Cited by 18 publications

(15 citation statements)

References 19 publications

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“…It is worth mentioning that the same phenomenon has been exploited to design a miniaturized radar antenna array [37]. In [36], a spiral antenna is used for the CP tag, yielding a wide CP bandwidth. For the purpose of illustrating the underlying methodology, the same CP tag antenna is chosen in this article.…”

Section: B Implementation 1)mentioning

confidence: 95%

“…Introducing the Hardware: The RFID system used in this work is composed of the Impinj Speedway R420 reader, one TX left hand circularly polarized (LHCP) antenna (S9028PCL with gain 9 dBi), one RX right hand circularly polarized (RHCP) antenna (S9028PCR with gain 9 dBi) and LHCP tags. Unlike previous implementations [5], [7], [19] that use COTS LP tags with the CP reader antennas, our previous work [36] proposed a solution that attenuates the direct communication link between the tag and the reader antennas-a major challenge when indirect links reflecting on targets carry the needed information-by implementing a cross-circular polarization between the reader antenna and the tag. Fig.…”

Section: B Implementation 1)mentioning

confidence: 99%

“…With a CP tag of opposite polarization from that of the reader, the direct communication between the tag and the reader suffers more than 30 dB of attenuation due to polarization mismatch, while signals passing through the target and carrying body movement information will flip polarization and be received by the reader. The proposed approach in [36] has demonstrated an improved SNR and spatial sensitivity compared to conventional LP tags. It is worth mentioning that the same phenomenon has been exploited to design a miniaturized radar antenna array [37].…”

Section: B Implementation 1)mentioning

confidence: 99%

See 2 more Smart Citations

Holography-Based Target Localization and Health Monitoring Technique Using UHF Tags Array

Eid

Zhu

et al. 2021

IEEE Internet Things J.

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Radio technologies are appealing for unobtrusive and remote monitoring of human activities. Radar-based human activity recognition proves to be a success, for example, Project Soli developed by Google. However, it is expensive to scale up for multiuser environments. In this article, we propose a solutionthe HoloTag system-which circumvents the multichannel-radar scaling problem through the use of a quasivirtual ultralow-cost UHF RFID array over which a holographic projection of its environment is measured and used to both localize and monitor the health of several targets. The method is first described in detail, before the image reconstruction process, employing known beamforming algorithms-Delay & Sum, and Capon-is shown and its scaling properties simulated. Then, the idiosyncrasies of the implementation of HoloTag using low-cost off-the-shelf hardware are explained, before its ability to simultaneously measure the breathing rates and positions of multiple real and synthetic targets with accuracies of better than 0.8 bpm and 20 cm is demonstrated.

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Section: B Implementation 1)mentioning

confidence: 95%

Section: B Implementation 1)mentioning

confidence: 99%

Section: B Implementation 1)mentioning

confidence: 99%

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Holography-Based Target Localization and Health Monitoring Technique Using UHF Tags Array

Eid

Zhu

et al. 2021

IEEE Internet Things J.

Self Cite

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“…In this regard, various sensing devices (e.g. radio frequency identification (RFID) sensors, global positioning system (GPS) terminals, Bluetooth, actuators, Zigbee, and cameras [24]) have been employed. Its maximum network coverage offers excellent accessibility and smartness as well as extended data capturing capabilities [6].…”

Section: B Architecture Of Smart Citiesmentioning

confidence: 99%

IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues

et al. 2021

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The notion of smart cities has remained under evolution as its global implementations are challenged by numerous technological, economic, and governmental obstacles. Moreover, the synergy of the Internet of Things (IoT) and big data technologies could result in promising horizons in terms of smart city development which has not been explored yet. Thus, the current research aims to address the essence of smart cities. To this end, first, the concept of smart cities is briefly overviewed; then, their properties and specifications as well as generic architecture, compositions, and real-world implementations are addressed. Furthermore, possible challenges and opportunities in the field of smart cities are described. Numerous issues and challenges such as analytics and using big data in smart cities introduced in this study offers an enhancement in developing applications of the above-mentioned technologies. Hence, this study paves the way for future research on the issues and challenges of big data applications in smart cities.INDEX TERMS Big data, Internet of Things (IoT), smart city.

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“…Due to blockage by the hand, three types of radio paths occur in this scenario: the diffraction paths, reflection paths and scattering paths. In addition, because this paper is primarily focused on analyzing the diffraction paths in RF hand motion detection, the reflection and scattering paths are shielded using a shield chamber, which is an experimental tool used in many RF motion detection applications [35], [36].…”

Section: Model Formulation a Geometry Of Hand Motion Detectionmentioning

confidence: 99%

A Model-Based RF Hand Motion Detection System for Shadowing Scenarios

Dong

Ying

et al. 2020

IEEE Access

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With the explosive growth of mobile computing, new modes of human-computer interaction (HCI) are emerging and becoming feasible. Compared to vision-based systems that require lighting, radio frequency (RF)-based hand motion detection systems are becoming more popular in HCI applications. In real RF hand motion detection scenarios, the line-of-sight between the transmitter (Tx) and receiver (Rx) is usually blocked. Hence, shadowing significantly affects the detection accuracy. To design better RF hand motion detection systems, we propose a simple diffraction and interference model (DIM) to interpret the received signal strength (RSS) variation caused by hand motions in the shadowing scenario. Based on theories of knife-edge diffraction and mutual radio interference, DIM provides a simple theoretical foundation for analyzing the RSS variation with hand size, signal frequency, and Tx-Rx distance. Furthermore, a modelbased RF hand motion detection system benefiting from DIM is presented. Unlike existing systems that require a large number of motion features to train a motion classifier, the model-based system achieves training-free motion classification, which has potential for hand motion detection on a real-time basis. Empirical data collected from a vector network analyzer validate our system as well as demonstrate a simple diffraction model can help hand motion detection processing for commonly growing HCI applications.

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RFID Based Non-Contact Human Activity Detection Exploiting Cross Polarization

Cited by 18 publications

References 19 publications

Holography-Based Target Localization and Health Monitoring Technique Using UHF Tags Array

Holography-Based Target Localization and Health Monitoring Technique Using UHF Tags Array

IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues

A Model-Based RF Hand Motion Detection System for Shadowing Scenarios

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