RFThermometer: A Temperature Estimation System with Commercial UHF RFID Tags

Wang, Xiangyu; Zhang, Jian; Yu, Zhitao; Mao, Eric; Periaswamy, Senthilkumar C. G.; Patton, Justin

doi:10.1109/icc.2019.8761625

Cited by 8 publications

(9 citation statements)

References 16 publications

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“…Next we compare the measurement accuracy of Thermotag with existing advanced work, including DMRT [31], RFThermometer [33], and RTSense [19]. As shown in Table 2, DMRT takes the differential minimum threshold power as the metric to perform the temperature measurement, with an error beyond 10 • C due to the low resolution of the metric.…”

Section: Accuracymentioning

confidence: 99%

“…Fig. 11 further presents the CDFs of sensing errors through Themotag and RFThermometer [33] that can function properly on commercially available tags. Clearly, our method Thermotag is far superior to RFThermometer.…”

Section: Accuracymentioning

confidence: 99%

“…Given that commodity radio frequency identification (R-FID) tags are already widely used in a number of applications for good tracking and management [11,14,26,29,32,35,36], RFID is a good choice for temperature sensing due to its compelling features of being low-cost, small-sized, and battery-free [10,24,25,27,30,33]. RFID-based temperature sensing generally falls into two categories.…”

Section: Introductionmentioning

confidence: 99%

“…To address this problem, recent work [33] attempts to sense temperature with commodity RFID tags. The basic idea is that RF signals modulated by a tag vary with the temperature.…”

Section: Introductionmentioning

confidence: 99%

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Thermotag

Chen

Liu

Xiao

et al. 2021

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

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Temperature sensing plays a significant role in upholding quality assurance and meeting regulatory compliance in a wide variety of applications, such as fire safety and cold chain monitoring. However, existing temperature measurement devices are bulky, cost-prohibitive, or battery-powered, making item-level sensing and intelligence costly. In this paper, we present a novel tag-based thermometer called Thermotag, which uses a common passive RFID tag to sense the temperature with competitive advantages of being low-cost, batteryfree, and robust to environmental conditions. The basic idea of Thermotag is that the resistance of a semiconductor diode in a tag's chip is temperature-sensitive. By measuring the discharging period through the reverse-polarized diode, we can estimate the temperature indirectly. We propose a standardscompliant measurement scheme of the discharging period by using a tag's volatile memory and build a mapping model between the discharging period and temperature for accurate and reliable temperature sensing. We implement Thermotag using a commercial off-the-shelf RFID system, with no need for any firmware or hardware modifications. Extensive experiments show that the temperature measurement has a large span ranging from 0 • C to 85 • C and a mean error of 2.7 • C.

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Section: Accuracymentioning

confidence: 99%

Section: Accuracymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…To address this problem, recent work [33] attempts to sense temperature with commodity RFID tags. The basic idea is that RF signals modulated by a tag vary with the temperature.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Thermotag

Chen

Liu

Xiao

et al. 2021

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

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show abstract

“…To remove the ambiguity, some other techniques are proposed to obtain the more accurate position than the typical method by leveraging the aperture radar technique [26] and hologram technique [14], [27], [28]. Besides indoor localization, RFID tags are also widely used for other sensing techniques such as remote control of drones [16]- [18], object orientation estimation [15], remote temperature measurement [29], and gesture recognition [30].…”

Section: Related Researchmentioning

confidence: 99%

Unsupervised Detection of Apnea Using Commodity RFID Tags With a Recurrent Variational Autoencoder

2019

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With the rapid development of intelligent health sensing in the Internet of Things (IoT), vital sign monitoring (e.g., respiration) and abnormal respiration detection have attracted increasing attention. Considering the challenging and the cost of collecting labeled training data from patients with breathing related diseases, we develop the AutoTag system, an unsupervised recurrent variational autoencoder-based method for respiration rate estimation and abnormal breathing detection with off-the-shelf RFID tags. Moreover, for real-time breath monitoring, a novel method is proposed to cancel the distortion on measured phase values caused by channel hopping for FCC-complaint RFID systems. The efficacy of the proposed system is demonstrated by the extensive experiments conducted in two indoor environments, while the impact of various design and environmental factors is also evaluated.INDEX TERMS Apnea, deep learning, radio-frequency identification (RFID), recurrent variational autoencoder, respiration monitoring.

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No Wait, No Waste: A Novel and Efficient Coordination Algorithm for Multiple readers in RFID Systems

Yang

Guo

2021

2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)

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RFThermometer: A Temperature Estimation System with Commercial UHF RFID Tags

Cited by 8 publications

References 16 publications

Thermotag

Thermotag

Unsupervised Detection of Apnea Using Commodity RFID Tags With a Recurrent Variational Autoencoder

No Wait, No Waste: A Novel and Efficient Coordination Algorithm for Multiple readers in RFID Systems

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