Vol. 17, No. 9, September 30, 2023
10.3837/tiis.2023.09.005,
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Abstract
In our daily lives, we engage in a variety of tasks that rely on our senses, such as seeing.
Blindness is the absence of the sense of vision. According to the World Health Organization,
2.2 billion people worldwide suffer from various forms of vision impairment. Unfortunately,
blind people face a variety of indoor and outdoor challenges on a daily basis, limiting their
mobility and preventing them from engaging in other activities. Blind people are very
vulnerable to a variety of hazards, including falls. Various barriers, such as stairs, can cause a
fall. The Internet of Things (IoT) is used to track falls and send a warning message to the blind
caretakers. One of the gaps in the previous works is that they were unable to differentiate
between falls true and false. Treating false falls as true falls results in many false alarms being
sent to the blind caretakers and thus, they may reject the IoT system. As a means of bridging
this chasm, this paper proposes an intelligent shoe that is able to precisely distinguish between
false and true falls based on three sensors, namely, the load scale sensor, the light sensor, and
the Flex sensor. The proposed IoT system is tested in an indoor environment for various
scenarios of falls using four models of machine learning. The results from our system showed
an accuracy of 0.96%. Compared to the state-of-the-art, our system is simpler and more
accurate since it avoids sending false alarms to the blind caretakers.
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Cite this article
[IEEE Style]
A. Abusukhon, "Intelligent Shoes for Detecting Blind Falls Using the Internet of Things," KSII Transactions on Internet and Information Systems, vol. 17, no. 9, pp. 2377-2398, 2023. DOI: 10.3837/tiis.2023.09.005.
[ACM Style]
Ahmad Abusukhon. 2023. Intelligent Shoes for Detecting Blind Falls Using the Internet of Things. KSII Transactions on Internet and Information Systems, 17, 9, (2023), 2377-2398. DOI: 10.3837/tiis.2023.09.005.
[BibTeX Style]
@article{tiis:55994, title="Intelligent Shoes for Detecting Blind Falls Using the Internet of Things", author="Ahmad Abusukhon and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2023.09.005}, volume={17}, number={9}, year="2023", month={September}, pages={2377-2398}}