A Personalized Smart Home Control System for the Elderly and People with Disabilities Using Arabic Voice Commands

This study introduces an AI-based smart home control system designed for the elderly, disabled, and visually impaired in the Arab region. The system integrates Artificial Intelligence (AI), Human-Computer Interaction (HCI) principles, and Internet of Things (IoT) technologies, enhancing hands-free control of diverse appliances using Arabic voice commands. The system includes auditory feedback for the visually impaired. The developed system is implemented for real-time operation and integrates an offline voice recognition module capable of processing commands in various Arabic dialects, including Emirati. The system demonstrated high recognition accuracy of 94.4% and seamless functionality in real-world tests. It surpasses existing solutions in linguistic adaptability, energy efficiency, and accessibility. Overall, it provides a robust foundation for a comprehensive smart home system that improves autonomy and quality of life for the elderly and people with disabilities.

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Publication Details

Published
2025-02-17
DOI
https://doi.org/10.1109/ssd64182.2025.10989929
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Personalized Smart Home Control System for the Elderly and People with Disabilities Using Arabic Voice Commands

Mohamed Deriche, Saifeddin Alghlayini
IoT-based Smart Home Systems
article

A Personalized Smart Home Control System for the Elderly and People with Disabilities Using Arabic Voice Commands

Mohamed Deriche, Saifeddin Alghlayini
article en

Abstract

This study introduces an AI-based smart home control system designed for the elderly, disabled, and visually impaired in the Arab region. The system integrates Artificial Intelligence (AI), Human-Computer Interaction (HCI) principles, and Internet of Things (IoT) technologies, enhancing hands-free control of diverse appliances using Arabic voice commands. The system includes auditory feedback for the visually impaired. The developed system is implemented for real-time operation and integrates an offline voice recognition module capable of processing commands in various Arabic dialects, including Emirati. The system demonstrated high recognition accuracy of 94.4% and seamless functionality in real-world tests. It surpasses existing solutions in linguistic adaptability, energy efficiency, and accessibility. Overall, it provides a robust foundation for a comprehensive smart home system that improves autonomy and quality of life for the elderly and people with disabilities.

Ajman University (AE)
Ajman University
Quality Education
Openalex Percentile: Top 91%
IoT-based Smart Home Systems
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A Personalized Smart Home Control System for the Elderly and People with Disabilities Using Arabic Voice Commands — Mohamed Deriche, Saifeddin Alghlayini · (2025) | TGRS Research Map | TGRS