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This paper studies the tag circuit shunt network, and propose three modes, namely series mode, parallel mode, and mixed mode, to adjust circuit load impedance of the tag to extend the communication range as well as address the integrated circuit (IC) power supply problem. However, the effective communication range is limited to only several meters. Besides, episodes of cough can be detected by sudden changes in thermistor temperature.īistatic backscatter communication is emerged as a promising technique to significantly enlarge the lifetime of internet of things (IoT) network due to its inherently low-power passive component. The system allows checking the correct placement of the mask based on the recorded temperatures and the breathing rate measurements.
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Accuracy in body temperature measurements is consistent with measurements made with a thermistor located in the armpit. Low-cost LoRa transceivers with WiFi capabilities are used in the prototype to collect information and upload it to a server. It is designed to establish the relative location of the smart mask from the signal received at two LoRa receivers installed inside and outside an access door. The system communicates by means of long-range (LoRa) backscattering, leading to a reduction in average power consumption. Breathing rate is obtained from the temperature changes within the mask, measured with a thermistor located near the nose. Body temperature is measured by a non-invasive dual-heat-flux system, consisting of four sensors separated from each other with an insulating material. This paper presents a smart mask that allows to monitor body temperature and breathing rate. Temperature controls at the entrance of public places to prevent the entry of virus carriers have been shown to be inefficient and inaccurate. To combat the spread of the virus, several safety measures, such as wearing face masks, have been taken. The COVID-19 pandemic has highlighted a large amount of challenges to address.
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The achievable precision is suitable to discriminate among low-, medium-, and high-permittivity materials. Experiments moreover demonstrate that multi-channel measurements can halve the measurement uncertainty of the single-channel case. The multi-sensor configuration allows for 100% reliability of the on-hand communication link for touched objects in a wide range of permittivity. The inter-sensor coupling is negligible, thus enabling simultaneous independent dielectric measurements. In this paper, the dielectric-sensing performance of a multi-channel R-FAD, composed of sensors encapsulated into soft elastomers, is numerically and experimentally characterized, involving a set of volunteers. These limitations can be overcome by exploiting a multi-channel R-FAD sensorizing multiple fingers of the hand. However, due to the nearly unpredictable intrinsic variability of finger-object interaction, a single sensorized finger (single-channel device) is not enough to guarantee reliable data sampling. R-FAD based on auto-tuning RFID microchips can be used as dielectric probes for the material of touched objects. These devices are promising candidates to enable Tactile Internet (TI) applications in the short term. Radiofrequency finger augmentation devices (R-FADs) are a recently introduced class of epidermal radiofrequency identification (RFID) sensor-tags attached to the fingers, communicating with a body-worn reader.