Clustering Indoor Location Data for Social Distancing and Human Mobility to Combat COVID-19

The world is experiencing the unprecedented time of a pandemic caused by the coronavirus disease (i.e., COVID-19). As a countermeasure, contact tracing and social distancing are essential to prevent the transmission of the virus, which can be achieved using indoor location analytics. Based on the in...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2022, Vol.71 (1), p.907-924
Hauptverfasser:	R. Uthayan, K., Lakshmi Vara Prasad, G., Mohan, V., Bharatiraja, C., V. Pustokhina, Irina, A. Pustokhin, Denis, Garc韆 D韆z, Vicente
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Confined spaces Contact tracing Coronaviruses COVID-19 Disease control Disease transmission Feature extraction Mathematical analysis Mobility Mobility management Optimization Social distancing Spatial data Viral diseases
Online-Zugang:	Volltext
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