2021 IEEE International Workshop on Metrology for Industry 4.0 &Amp; IoT (MetroInd4.0&IoT) 2021
DOI: 10.1109/metroind4.0iot51437.2021.9488522
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Preventing COVID-19 contagion in industrial environments through anonymous contact tracing

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Cited by 8 publications
(3 citation statements)
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“…This baseline will serve as the reference for comparing and evaluating the performance with channel 5, now. The evaluation is done in a structured indoor environment by using 8 Qualisys Arqus A9 high-performance cameras 1 . Figure 5-(a) illustrates the comparison between the UWB and MoCap traces, while Figure 5-(b) displays the histogram representing the error.…”
Section: B Preliminary Experimental Resultsmentioning
confidence: 99%
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“…This baseline will serve as the reference for comparing and evaluating the performance with channel 5, now. The evaluation is done in a structured indoor environment by using 8 Qualisys Arqus A9 high-performance cameras 1 . Figure 5-(a) illustrates the comparison between the UWB and MoCap traces, while Figure 5-(b) displays the histogram representing the error.…”
Section: B Preliminary Experimental Resultsmentioning
confidence: 99%
“…In recent years, there has been a growing emphasis on integrating positioning systems into Internet of Things (IoT) and Industrial Internet of Things (IIoT) networks, mainly sparked by the technological advancements in compact and energy-efficient devices. Positioning systems can be broadly categorized into active [1], [2] and passive systems [3]. The former systems involve entities equipped with electronic devices that exchange information with the infrastructure to estimate their positions [4], [5].…”
Section: Introductionmentioning
confidence: 99%
“…In the case of RF-based localisation systems the fundamentals ranging techniques to estimate the distance from two nodes are: Received Signal Strength (RSS); Time of Arrival (ToA); Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). RSS is the simplest approach to estimate the distance between two nodes [23], [24]. In this case, the path loss model is exploited to estimate the distance by measuring the signal's received power.…”
Section: Introductionmentioning
confidence: 99%