Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444368
Cheng Qi, F. Amato, Yiliang Guo, Ying Zhang, G. Durgin
This paper introduces a backscatter channel sounder technique used for a radio-frequency identification (RFID) positioning system at 5.8 GHz. This system applies received signal phase (RSP)-based positioning and channel sounding techniques to a tunneling tag, providing sufficient information to calculate the delay spectrum for accurate positioning in a complicated multipath environment. Ultra-precise (0.45%) position estimates at long distances (100 m) are achieved using the proposed channel sounding techniques.
{"title":"A Backscatter Channel Sounder Using Tunneling RFID Tags","authors":"Cheng Qi, F. Amato, Yiliang Guo, Ying Zhang, G. Durgin","doi":"10.1109/RFID52461.2021.9444368","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444368","url":null,"abstract":"This paper introduces a backscatter channel sounder technique used for a radio-frequency identification (RFID) positioning system at 5.8 GHz. This system applies received signal phase (RSP)-based positioning and channel sounding techniques to a tunneling tag, providing sufficient information to calculate the delay spectrum for accurate positioning in a complicated multipath environment. Ultra-precise (0.45%) position estimates at long distances (100 m) are achieved using the proposed channel sounding techniques.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131674414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes an ultrahigh-frequency (UHF) radio frequency identification (RFID) based 3D mobile localization system (3DRML) for passive tags and tagged objects. Influenced by factors such as calculation model, grid scale and phase center shift (PCS), prior RFID based 2D and 3D mobile localization methods are subject to certain restrictions in computational time and accuracy. To overcome these limitations, 3DRML has the following features. First, 3DRML achieves grid based mobile localization with low time cost by leveraging the idea of reflection coefficient reconstruction (RCR) which regards each point representing an area as a reflection point and calculates the reflection coefficients from simple matrix operations. Second, a PCS calibration process is performed to compensate the phase shift caused by the antenna phase center change. Third, 3DRML uses the nonlinear optimization algorithm to solve the least square localization model for a quick localization, and then constructs a much smaller grid area to facilitate the grid based real-time accurate localization. The performance of 3DRML is evaluated by simulations with various interferences, and the results show that 3DRML enables fast 3D localization while achieving higher accuracy.
{"title":"On Fast and Accurate 3D RFID Mobile Localization","authors":"Hankai Liu, Yongtao Ma, Yue Jiang, Yunlei Zhang, Xiuyan Liang","doi":"10.1109/RFID52461.2021.9444375","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444375","url":null,"abstract":"This paper proposes an ultrahigh-frequency (UHF) radio frequency identification (RFID) based 3D mobile localization system (3DRML) for passive tags and tagged objects. Influenced by factors such as calculation model, grid scale and phase center shift (PCS), prior RFID based 2D and 3D mobile localization methods are subject to certain restrictions in computational time and accuracy. To overcome these limitations, 3DRML has the following features. First, 3DRML achieves grid based mobile localization with low time cost by leveraging the idea of reflection coefficient reconstruction (RCR) which regards each point representing an area as a reflection point and calculates the reflection coefficients from simple matrix operations. Second, a PCS calibration process is performed to compensate the phase shift caused by the antenna phase center change. Third, 3DRML uses the nonlinear optimization algorithm to solve the least square localization model for a quick localization, and then constructs a much smaller grid area to facilitate the grid based real-time accurate localization. The performance of 3DRML is evaluated by simulations with various interferences, and the results show that 3DRML enables fast 3D localization while achieving higher accuracy.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123474222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444372
F. Villa-González, R. Bhattacharyya, S. Sarma
We examine the use of chipless RFID tags for plastic identification in two applications in the recycling chain. First, on a conveyor belt system, where tagged plastics pass by a reader one at a time. We demonstrate that our approach can successfully differentiate between 2 plastic types with over 90% accuracy and is agnostic to tag orientation or contaminants such as oil and water. In doing so, we show that the technology works just as well or is superior to comparable studies using optical methods. Second, for contents estimation, where we estimate the relative fraction of two types of plastics in a bulk mixture. We show that we are able to detect pure or homogeneous bales of plastic with over 90% accuracy and estimate the content of non-homogeneous bales with 65-75% accuracy. This could help recycling plant managers prioritize sorting operations based on composition of incoming shipments with more information than they have currently. Future directions of research are also discussed.
{"title":"Single and bulk identification of plastics in the recycling chain using Chipless RFID tags","authors":"F. Villa-González, R. Bhattacharyya, S. Sarma","doi":"10.1109/RFID52461.2021.9444372","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444372","url":null,"abstract":"We examine the use of chipless RFID tags for plastic identification in two applications in the recycling chain. First, on a conveyor belt system, where tagged plastics pass by a reader one at a time. We demonstrate that our approach can successfully differentiate between 2 plastic types with over 90% accuracy and is agnostic to tag orientation or contaminants such as oil and water. In doing so, we show that the technology works just as well or is superior to comparable studies using optical methods. Second, for contents estimation, where we estimate the relative fraction of two types of plastics in a bulk mixture. We show that we are able to detect pure or homogeneous bales of plastic with over 90% accuracy and estimate the content of non-homogeneous bales with 65-75% accuracy. This could help recycling plant managers prioritize sorting operations based on composition of incoming shipments with more information than they have currently. Future directions of research are also discussed.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117205595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444382
Florian Muralter, Michael Hani, H. Landaluce, A. Perallos, Erwin M. Biebl
This article describes an alternative procedure for measuring the impedance of an ultra high frequency (UHF) radio frequency identification (RFID) chip and finding its turnon-point. The proposed method is based on measuring the balanced impedance of the RFID chip using a standard vector network analyzer (VNA) and a custom fabricated printed circuit board (PCB) test fixture. The test fixture uses a transmission line transformer to (1) provide a balanced signal to the ports of the RFID chip and (2) achieve a pre-matching to avoid the inaccuracies resulting from measuring high Q components with a VNA. No additional RFID reader is needed, as the turnon-point is extracted from the measured voltage reflection coefficient as a function of frequency and input power. A matching network is designed using a Smith chart approach to prove the applicability of the method by measuring the resulting reflection coefficient. A comparison with the typically used single-ended technique is provided.
{"title":"UHF RFID chip impedance and sensitivity measurement using a transmission line transformer","authors":"Florian Muralter, Michael Hani, H. Landaluce, A. Perallos, Erwin M. Biebl","doi":"10.1109/RFID52461.2021.9444382","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444382","url":null,"abstract":"This article describes an alternative procedure for measuring the impedance of an ultra high frequency (UHF) radio frequency identification (RFID) chip and finding its turnon-point. The proposed method is based on measuring the balanced impedance of the RFID chip using a standard vector network analyzer (VNA) and a custom fabricated printed circuit board (PCB) test fixture. The test fixture uses a transmission line transformer to (1) provide a balanced signal to the ports of the RFID chip and (2) achieve a pre-matching to avoid the inaccuracies resulting from measuring high Q components with a VNA. No additional RFID reader is needed, as the turnon-point is extracted from the measured voltage reflection coefficient as a function of frequency and input power. A matching network is designed using a Smith chart approach to prove the applicability of the method by measuring the resulting reflection coefficient. A comparison with the typically used single-ended technique is provided.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126870531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444326
Siqi Dai, Tingzhe Wang, Yulong Liu, Terry Tao Ye
RFID technology not only enables wireless identification, it also provides the platform for battery-less antenna sensing capabilities, i.e., the sensing information is modulated by the antenna impedance, and it can later be extracted from the backscattered signals by the readers. However, antenna sensing is prone to interference and ambient environment impacts, such as distance variation and noise in the transmission path. These factors can cause amplitude and phase changes of the received signals, and deteriorate the quality of the sensing information. In this paper, we propose a deformation sensor that consists of two adjacent-placed RFID antennas. The impedance of the two antennas will be modulated differently under the bending condition, and the deformation information can be extracted from the differential backscattered signals of the two antennas. To be deployed as a wearable body gesture sensor, the two antennas are embroidered on apparel using conductive yarns. Experiments show that differential sensing signals can effectively eliminate the impact from ambient interference, while tracking the body gesture even under varying reading distances.
{"title":"Wearable Deformation Sensor with Ambient Interference Rejection Using Differential Backscattered RFID Signals","authors":"Siqi Dai, Tingzhe Wang, Yulong Liu, Terry Tao Ye","doi":"10.1109/RFID52461.2021.9444326","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444326","url":null,"abstract":"RFID technology not only enables wireless identification, it also provides the platform for battery-less antenna sensing capabilities, i.e., the sensing information is modulated by the antenna impedance, and it can later be extracted from the backscattered signals by the readers. However, antenna sensing is prone to interference and ambient environment impacts, such as distance variation and noise in the transmission path. These factors can cause amplitude and phase changes of the received signals, and deteriorate the quality of the sensing information. In this paper, we propose a deformation sensor that consists of two adjacent-placed RFID antennas. The impedance of the two antennas will be modulated differently under the bending condition, and the deformation information can be extracted from the differential backscattered signals of the two antennas. To be deployed as a wearable body gesture sensor, the two antennas are embroidered on apparel using conductive yarns. Experiments show that differential sensing signals can effectively eliminate the impact from ambient interference, while tracking the body gesture even under varying reading distances.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444374
B. Marshall, G. Durgin
The new algorithm described in this work produces an optimized RF beam-forming network. Based on a sequential optimization technique that has been particularly adapted to microwave circuitry, the technique is well-suited for design of energy-harvesting networks with arrays because it can emphasize compact size and low-loss. This methodology defines a planar area (with a ground plane), ports, and a goal scattering matrix then iterates through various design structures to find an optimal solution. Numerous circuit design applications beyond energy-harvesting would also benefit.
{"title":"Synthesis of Compact, Low-Loss Beam-forming Networks for RF Energy Harvesting","authors":"B. Marshall, G. Durgin","doi":"10.1109/RFID52461.2021.9444374","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444374","url":null,"abstract":"The new algorithm described in this work produces an optimized RF beam-forming network. Based on a sequential optimization technique that has been particularly adapted to microwave circuitry, the technique is well-suited for design of energy-harvesting networks with arrays because it can emphasize compact size and low-loss. This methodology defines a planar area (with a ground plane), ports, and a goal scattering matrix then iterates through various design structures to find an optimal solution. Numerous circuit design applications beyond energy-harvesting would also benefit.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131509320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444387
Wei Sun
The commodity passive RFID system employs slotted ALOHA protocol to interrogate the tags within the reader’s communication range. So, at each time slot, there is only one RFID tag communicating with the reader. This degrades the network throughput, especially in large-scale RFID deployments such as warehouses. Recently, parallel decoding techniques are proposed, which can only read less than ten tags at each time slot. So, it is not applicable for warehouse applications, where there are thousands of RFID tags.In this paper, we propose to achieve parallel decoding with compressive sensing technique for multi-reader large-scale RFID system. Since it is difficult to decode the collisions from multiple tags at one reader, we distributively deploy multiple readers. However, we have to consider the inter-reader interference. Even though there are thousands of tags deployed in the large warehouse, they may not backscatter the signals at each time slot simultaneously due to the heterogeneity. Therefore, this sparsity property of backscattering signals can allow us to leverage compressive sensing to decode multiple tags simultaneously with multiple readers. Our simulation results reveal that compressive sensing can efficiently achieve parallel decoding in multi-reader large-scale RFID system.
{"title":"Towards Parallel Decoding with Compressive Sensing in Multi-Reader Large-Scale RFID System","authors":"Wei Sun","doi":"10.1109/RFID52461.2021.9444387","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444387","url":null,"abstract":"The commodity passive RFID system employs slotted ALOHA protocol to interrogate the tags within the reader’s communication range. So, at each time slot, there is only one RFID tag communicating with the reader. This degrades the network throughput, especially in large-scale RFID deployments such as warehouses. Recently, parallel decoding techniques are proposed, which can only read less than ten tags at each time slot. So, it is not applicable for warehouse applications, where there are thousands of RFID tags.In this paper, we propose to achieve parallel decoding with compressive sensing technique for multi-reader large-scale RFID system. Since it is difficult to decode the collisions from multiple tags at one reader, we distributively deploy multiple readers. However, we have to consider the inter-reader interference. Even though there are thousands of tags deployed in the large warehouse, they may not backscatter the signals at each time slot simultaneously due to the heterogeneity. Therefore, this sparsity property of backscattering signals can allow us to leverage compressive sensing to decode multiple tags simultaneously with multiple readers. Our simulation results reveal that compressive sensing can efficiently achieve parallel decoding in multi-reader large-scale RFID system.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444323
M. Forouzandeh, Javad Aliasgari, N. Karmakar
In a vector frequency-domain chipless radio frequency identification (RFID) reader, a wideband mixer down-converts the backscattered signal from frequency-coded tags. The strong leakage signal from the LO port into the IF port of the mixer is a severe limitation of the vector reader. The leakage reduces the dynamic range of the receiver, adversely affecting the reading range. Herein, a wideband directive filter (DF) is designed to absorb the leakage signal, and as a result, improve the reading range of the system dramatically. A prototype filtering scheme is implemented for the stopband region of 4-8 GHz, where a suppression level of 50 dB is achieved.
{"title":"A Wideband Directive Filter For LO Leakage Reduction in UWB Frequency-domain Chipless RFID Readers","authors":"M. Forouzandeh, Javad Aliasgari, N. Karmakar","doi":"10.1109/RFID52461.2021.9444323","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444323","url":null,"abstract":"In a vector frequency-domain chipless radio frequency identification (RFID) reader, a wideband mixer down-converts the backscattered signal from frequency-coded tags. The strong leakage signal from the LO port into the IF port of the mixer is a severe limitation of the vector reader. The leakage reduces the dynamic range of the receiver, adversely affecting the reading range. Herein, a wideband directive filter (DF) is designed to absorb the leakage signal, and as a result, improve the reading range of the system dramatically. A prototype filtering scheme is implemented for the stopband region of 4-8 GHz, where a suppression level of 50 dB is achieved.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134246213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444320
D. Piumwardane, C. Rohner, T. Voigt
RFID and backscatter allow for extremely low-power or battery-free tags by outsourcing the generation of the radio carrier wave to an external device such as an RFID reader. Recent advances in backscatter communication enables tags to both transmit and receive standards-compliant packets with sub-milliwatt power consumption. The ability to receive packets makes multi-hop tag-to-tag networking possible, a task that current backscatter networks provide only for limited topologies. Tag-to-tag networks further allow for novel applications such as wireless robotic materials that inherently require dense networks of such tags. In contrast to conventional networks, the tags’ communication range in such networks depends heavily on the signal strength of the carrier wave at the transmitter and the receiver. In this paper, we demonstrate for the first time on real hardware multi-hop in backscatter-based networks using standards-based protocols. We present analytical and simulation results that show that both the output power and the position of the carrier generator impact the reliability of the network. We finally demonstrate that simple flooding with a random forwarding delay is an efficient solution for transfering data in such networks.
{"title":"Reliable Flooding in Dense Backscatter-based Tag-to-Tag Networks","authors":"D. Piumwardane, C. Rohner, T. Voigt","doi":"10.1109/RFID52461.2021.9444320","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444320","url":null,"abstract":"RFID and backscatter allow for extremely low-power or battery-free tags by outsourcing the generation of the radio carrier wave to an external device such as an RFID reader. Recent advances in backscatter communication enables tags to both transmit and receive standards-compliant packets with sub-milliwatt power consumption. The ability to receive packets makes multi-hop tag-to-tag networking possible, a task that current backscatter networks provide only for limited topologies. Tag-to-tag networks further allow for novel applications such as wireless robotic materials that inherently require dense networks of such tags. In contrast to conventional networks, the tags’ communication range in such networks depends heavily on the signal strength of the carrier wave at the transmitter and the receiver. In this paper, we demonstrate for the first time on real hardware multi-hop in backscatter-based networks using standards-based protocols. We present analytical and simulation results that show that both the output power and the position of the carrier generator impact the reliability of the network. We finally demonstrate that simple flooding with a random forwarding delay is an efficient solution for transfering data in such networks.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124317403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/RFID52461.2021.9444377
C. Miozzi, G. Stendardo, G. M. Bianco, F. Montecchia, G. Marrocco
Breath monitoring is critical for multiple applications, ranging from monitoring patients in Intensive Care Units (ICUs) to the design of optimized physical training. Recently proposed Radiofrequency Identification (RFID) tags and systems for breath monitoring only return integrated information on breathing, whereas the air flow through each nostril can provide more useful information. In this paper, a dual-tag temperature-sensing RFID device is introduced for the simultaneous bilateral monitoring of the nostrils’ breath. The device comprises two coupled tapered loops each closed to a transmission line probe excited by a smaller loop hosting the Integrated Circuit (IC). The resulting two-ports tag is such that each temperature-sensing IC is placed just below a nostril. Numerical and preliminary experimentations with epidermal prototypes suggest that the two sensors can be simultaneously read along the nose septum’s direction up to a distance of 50 cm.
{"title":"Dual-chip RFID On-skin Tag for Bilateral Breath Monitoring","authors":"C. Miozzi, G. Stendardo, G. M. Bianco, F. Montecchia, G. Marrocco","doi":"10.1109/RFID52461.2021.9444377","DOIUrl":"https://doi.org/10.1109/RFID52461.2021.9444377","url":null,"abstract":"Breath monitoring is critical for multiple applications, ranging from monitoring patients in Intensive Care Units (ICUs) to the design of optimized physical training. Recently proposed Radiofrequency Identification (RFID) tags and systems for breath monitoring only return integrated information on breathing, whereas the air flow through each nostril can provide more useful information. In this paper, a dual-tag temperature-sensing RFID device is introduced for the simultaneous bilateral monitoring of the nostrils’ breath. The device comprises two coupled tapered loops each closed to a transmission line probe excited by a smaller loop hosting the Integrated Circuit (IC). The resulting two-ports tag is such that each temperature-sensing IC is placed just below a nostril. Numerical and preliminary experimentations with epidermal prototypes suggest that the two sensors can be simultaneously read along the nose septum’s direction up to a distance of 50 cm.","PeriodicalId":358808,"journal":{"name":"2021 IEEE International Conference on RFID (RFID)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126740999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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