About: WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery

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About: WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery
Creator	Mu, Mu
Source	ArXiv
abstract	The recovery phase of the COVID-19 pandemic requires careful planning and monitoring while people gradually return to work. Internet-of-Things (IoT) is widely regarded as a crucial tool to help combating COVID-19 pandemic in many areas and societies. In particular, the heterogeneous data captured by IoT solutions can inform policy making and quick responses to community events. This article introduces a novel IoT crowd monitoring solution which uses software defined networks (SDN) assisted WiFi access points as 24/7 sensors to monitor and analyze the use of physical space. Prototypes and crowd behavior models are developed using over 500 million records captured on a university campus. Besides supporting informed decision at institution level, the results can be used by individual visitors to plan or schedule their access to facilities.
has issue date	2020-07-23(xsd:dateTime)
has license	arxiv
sha1sum (hex)	d0f606c50c0ea263db54e92980ee3d2f52108f66
resource representing a document's title	WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery
resource representing a document's body	covid:d0f606c50c0ea263db54e92980ee3d2f52108f66#body_text
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