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Real-Time Indoor Geolocation Tracking for Assisted Healthcare Facilities
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Author(s): 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)and Mahasweta Sarkar (San Diego State University, San Diego, USA)
Copyright: 2020
Volume: 12
Issue: 2
Pages: 21
Source title:
International Journal of Interdisciplinary Telecommunications and Networking (IJITN)
DOI: 10.4018/IJITN.2020040101
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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.
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