Real-Time Indoor Geolocation Tracking for Assisted Healthcare Facilities
Kinjal Gala,
Paul David Bryden,
Christopher Paolini,
Matthew Wang,
Albena Dimitrova Mihovska and
Mahasweta Sarkar
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Kinjal Gala: San Diego State University, San Diego, USA
Paul David Bryden: University of Strathclyde, Glasgow, Scotland
Christopher Paolini: San Diego State University, San Diego, USA
Matthew Wang: University of California, Los AngelesUSA
Albena Dimitrova Mihovska: CTIF Global Capsule (CGC), Denmark
Mahasweta Sarkar: San Diego State University, San Diego, USA
International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2020, vol. 12, issue 2, 1-21
Abstract:
A leading cause of physical injury sustained by elderly persons is the event of unintentionally falling. A delay between the time of fall and the time of medical attention can exacerbate injury if the fall resulted in a concussion, traumatic brain injury, or bone fracture. The authors present a solution capable of finding and tracking, in real-time, the location of an elderly person within an indoor facility, using only existing Wi-Fi infrastructure. This paper discusses the development of an open source software framework capable of finding the location of an individual within 3m accuracy using 802.11 Wi-Fi in good coverage areas. This framework is comprised of an embedded software layer, a Web Services layer, and a mobile application for monitoring the location of individuals, calculated using trilateration, with Kalman filtering employed to reduce the effect of multipath interference. The solution provides a real-time, low cost, extendible solution to the problem of indoor geolocation to mitigate potential harm to elderly persons who have fallen and require immediate medical help.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jitn00:v:12:y:2020:i:2:p:1-21
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