Original scientific paper
https://doi.org/10.24138/jcomss.v16i3.1039
A Wearable Fall Detection System based on LoRa LPWAN Technology
Elma Zanaj
orcid.org/0000-0002-5293-3297
; University of Tirana, Tirana, Albania
Deivis Disha
; Universita Politecnica delle Marche, 60131 Ancona, Italy
Susanna Spinsante
orcid.org/0000-0002-7323-4030
; Universita Politecnica delle Marche, 60131 Ancona, Italy
Ennio Gambi
; Universita Politecnica delle Marche, 60131 Ancona, Italy
Abstract
Several technological solutions now available in the
market offer the possibility of increasing the independent life
of people who by age or pathologies otherwise need assistance.
In particular, internet-connected wearable solutions are of considerable interest, as they allow continuous monitoring of the
user. However, their use poses different challenges, from the real
usability of a device that must still be worn to the performance
achievable in terms of radio connectivity and battery life. The
acceptability of a technology solution, by a user who would still
benefit from its use, is in fact often conditioned by practical
problems that impact the person’s normal lifestyle. The technological choices adopted in fact strongly determine the success
of the proposed solution, as they may imply limitations both
to the person who uses it and to the achievable performance.
In this document, targeting the case of a fall detection sensor
based on a pair of sensorized shoes, the effectiveness of a real
implementation of an Internet of Things technology is examined.
It is shown how alarming events, generated in a metropolitan
context, are effectively sent to a supervision system through
Low Power Wide Area Network technology without the need
for a portable gateway. The experimental results demonstrate
the effectiveness of the chosen technology, which allows the user
to take advantage of the support of a wearable sensor without
being forced to substantially change his lifestyle.
Keywords
Wireless sensor network, low power, LoRa, fall detection, wearable device.
Hrčak ID:
243982
URI
Publication date:
30.9.2020.
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