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Real-Time Indoor Geolocation Tracking for Assisted Healthcare Facilities

Author

Listed:
  • 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)

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.

Suggested Citation

  • Kinjal Gala & Paul David Bryden & Christopher Paolini & Matthew Wang & Albena Dimitrova Mihovska & Mahasweta Sarkar, 2020. "Real-Time Indoor Geolocation Tracking for Assisted Healthcare Facilities," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 12(2), pages 1-21, April.
    • Handle: RePEc:igg:jitn00:v:12:y:2020:i:2:p:1-21
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