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DOI: 10.14569/IJACSA.2020.0111275
PDF

Development of Smart Healthcare System for Visually Impaired using Speech Recognition

Author 1: Khloud Almutairi
Author 2: Ahmed Ismail Ebada
Author 3: Samir Abdlerazek
Author 4: Hazem Elbakry

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 12, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: This paper presents a solution for the Visually Impaired (VI) based on wearable devices. VI people need support or a guide to support them to locomote from one place to another. Using Wearables help users to achieve a great understanding of the surrounding environment. The proposed system is based on wearable smart glasses to support VI to locomote. It provides a solution integrated with speech recognition to get the destination name and look for the routes. The proposed system is based on Google maps with speech recognition to work as user assistance. The results of the research results proved that the system works with high accuracy of 99% and can help the person as an effective tool for localization guidance. The system can assist VI people to move and have a better life quality.

Keywords: Personal assistance; speech recognition; visually impaired person assistant; smart wearable device; smart sensory system

Khloud Almutairi, Ahmed Ismail Ebada, Samir Abdlerazek and Hazem Elbakry, “Development of Smart Healthcare System for Visually Impaired using Speech Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 11(12), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111275

@article{Almutairi2020,
title = {Development of Smart Healthcare System for Visually Impaired using Speech Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111275},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111275},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {12},
author = {Khloud Almutairi and Ahmed Ismail Ebada and Samir Abdlerazek and Hazem Elbakry}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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