Smart real time wearable navigation support system for BVIP

Yassine Bouteraa

doi:10.1016/j.aej.2022.06.060

Smart real time wearable navigation support system for BVIP

Yassine Bouteraa

Computer Engineering

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.

Original language	English
Pages (from-to)	223-235
Number of pages	13
Journal	Alexandria Engineering Journal
Volume	62
DOIs	https://doi.org/10.1016/j.aej.2022.06.060
State	Published - Jan 2023

Keywords

Assistive technology
Blind and visually impaired people
Fuzzy classifier
Navigation aid
Obstacles detection, sensors data fusion
Wearable devices

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10.1016/j.aej.2022.06.060

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title = "Smart real time wearable navigation support system for BVIP",

abstract = "In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.",

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AB - In this paper, we develop a smart navigation aid system for blind and visually impaired people (BVIP). The proposed design revolves around a decision support system based on fuzzy logic, a Raspberry Pi4 board for real-time processing, a set of high-performance sensors, and a haptic voice interface to guide the user. The control architecture is based on the Robot Operating System (ROS) which takes care of connecting all the different nodes of the system and generates the decision in the form of a voice haptic message. A security assessment system is implemented using sensor data fusion and a fuzzy classifier to determine the human security path. Experimental tests carried out by BVIP in different environments have shown the effectiveness of the developed solution.

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KW - Fuzzy classifier

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JO - Alexandria Engineering Journal

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Smart real time wearable navigation support system for BVIP

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Keywords

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