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Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation

The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability. A model of a smart home for safe and robust mobi...

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Detalles Bibliográficos
Autores principales: Tayyaba, Shahzadi, Ashraf, Muhammad Waseem, Alquthami, Thamer, Ahmad, Zubair, Manzoor, Saher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374361/
https://www.ncbi.nlm.nih.gov/pubmed/32630055
http://dx.doi.org/10.3390/s20133674
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author Tayyaba, Shahzadi
Ashraf, Muhammad Waseem
Alquthami, Thamer
Ahmad, Zubair
Manzoor, Saher
author_facet Tayyaba, Shahzadi
Ashraf, Muhammad Waseem
Alquthami, Thamer
Ahmad, Zubair
Manzoor, Saher
author_sort Tayyaba, Shahzadi
collection PubMed
description The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability. A model of a smart home for safe and robust mobility of blind people has been proposed. Fuzzy logic has been used for simulation. Outputs from the internet of things (IoT) devices comprising sensors and bluetooth are taken as input of the fuzzy controller. Rules have been developed based on the conditions and requirements of the blind person to generate decisions as output. These outputs are communicated through IoT devices to assist the blind person or user for safe movement. The proposed system provides the user with easy navigation and obstacle avoidance.
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spelling pubmed-73743612020-08-06 Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation Tayyaba, Shahzadi Ashraf, Muhammad Waseem Alquthami, Thamer Ahmad, Zubair Manzoor, Saher Sensors (Basel) Article The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability. A model of a smart home for safe and robust mobility of blind people has been proposed. Fuzzy logic has been used for simulation. Outputs from the internet of things (IoT) devices comprising sensors and bluetooth are taken as input of the fuzzy controller. Rules have been developed based on the conditions and requirements of the blind person to generate decisions as output. These outputs are communicated through IoT devices to assist the blind person or user for safe movement. The proposed system provides the user with easy navigation and obstacle avoidance. MDPI 2020-06-30 /pmc/articles/PMC7374361/ /pubmed/32630055 http://dx.doi.org/10.3390/s20133674 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tayyaba, Shahzadi
Ashraf, Muhammad Waseem
Alquthami, Thamer
Ahmad, Zubair
Manzoor, Saher
Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
title Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
title_full Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
title_fullStr Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
title_full_unstemmed Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
title_short Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
title_sort fuzzy-based approach using iot devices for smart home to assist blind people for navigation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374361/
https://www.ncbi.nlm.nih.gov/pubmed/32630055
http://dx.doi.org/10.3390/s20133674
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