Arduino-Based Sensor System for Safe Mobility of People with Visual Impairments · Alnoor Digital Repository

Title: Arduino-Based Sensor System for Safe Mobility of People with Visual Impairments
Abstract: Background: Around 253 million people worldwide
have vision impairments, with 36 million blinds. There is a growing
desire for novel solutions since standard instruments such as white
sticks and guide dogs provide minimal support.
Objective: To improve the mobility and security of people who
are blind, this article digs into the development and
implementation of a sensor-based assistive device utilising the
Arduino platform. It aims to boost their feeling of freedom and
safety by sensing impediments and providing instant feedback.
Methods: The sensor processes information from ultrasonic
sensors using the Arduino microcontroller platform. This
information is subsequently converted into tactile or aural
feedback for the users. The device's design and optimisation were
guided by extensive testing and input from visually impaired
persons to meet real-world issues they confront.
Results: The deployment of the Arduino-based sensor system
demonstrated the ability to inform users of obstructions
effectively. Preliminary comments and experiments indicate a
significant improvement in navigating ability among visually
challenged users, resulting in fewer accidents and disasters. The
primary focus of the document is on the need for innovative
approaches to assist visually impaired people in navigation,
highlighting the high incidence of collisions and falls among blind
individuals.
Conclusion: Arduino-powered sensors represent a paradigm
shift in assistive technology for the visually handicapped. These
sensors, which are inexpensive, versatile, and sensitive, have the
potential to dramatically enhance the quality of life and mobility
of people with vision impairments.
Scientific Type: غير معروف
Link: https://fruct.org/publications/volume-35/fruct35/
Journal volume: vol.35,No.1
Collaboration type: مشترك
Publish Date: April 26, 2024
Participated Universities (Publication): Alnoor University
Scopus status: In Scopus
Scopus index year: 2 024
Scopus citation score: 0
Clarivate status: Not In Clarivate
Pub. Med. status: Not In PubMed
Author (Publication): علي إبراهيم احمد صالح
Journal (Publication): PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
Publisher (Publication): IEEE Computer Society
ISSN: 2305-7254
Country (Publication): Russian Federation
Country type: عالمية
College (Publication): College of Health and Medical Technologies
Departement (Publication): Department of Medical laboratories techniques

Media: Academic paper