Abstract | ||
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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. |
Year | DOI | Venue |
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2020 | 10.4018/IJITN.2020040101 | INTERNATIONAL JOURNAL OF INTERDISCIPLINARY TELECOMMUNICATIONS AND NETWORKING |
Keywords | DocType | Volume |
Assisted Healthcare Technology, Indoor Geolocation, Indoor Location System, Indoor Positioning System, Kalman Filtering, Location Tracking, Trilateration, Wireless Sensor Networks | Journal | 12 |
Issue | ISSN | Citations |
2 | 1941-8663 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kinjal Gala | 1 | 0 | 0.34 |
Paul David Bryden | 2 | 0 | 0.34 |
Christopher Paolini | 3 | 25 | 4.30 |
Matthew Wang | 4 | 0 | 0.34 |
Albena Mihovska | 5 | 125 | 26.27 |
Mahasweta Sarkar | 6 | 132 | 17.10 |