,
Md. Farhan Fuad Antar,
Sadia Islam,
Sadman Shahriar Alam*,
Naimur Rahman Esam,
S. M. Tanvir Hassan Shovon
This paper presents the design and development of a Smart Shoe System intended to assist deafblind individuals in navigating their surroundings safely and independently. The system integrates ultrasonic sensors, vibration motors, active buzzers, and a GPS module, all managed by an ESP32 microcontroller. Ultrasonic sensors continuously detect obstacles in the user’s path, while vibration and sound feedback provide real-time alerts to prevent collisions. The integrated GPS module enables real-time location tracking through a mobile application, allowing caregivers to monitor the user remotely. The system operates on rechargeable Li-ion batteries with a DC–DC buck converter ensuring stable power regulation. Experimental testing conducted in open, urban, and obstructed environments demonstrated approximately 92.4% obstacle detection accuracy and ±5 m GPS precision, confirming the system’s effectiveness in providing reliable environmental awareness and location monitoring. The proposed design is lightweight, portable, and energy-efficient, ensuring comfort and convenience for continuous daily use. This work contributes to the advancement of affordable and practical assistive technologies for deafblind individuals by combining real-time obstacle detection, dual feedback alerts, and GPS-based tracking. The ESP32 microcontroller provides flexibility for future enhancements such as Bluetooth connectivity or AI-assisted navigation. Overall, the Smart Shoe System offers a comprehensive, low-cost, and efficient solution that enhances safety, mobility, and independence for individuals with dual sensory impairments.
| Published in | American Journal of Science, Engineering and Technology (Volume 10, Issue 4) |
| DOI | 10.11648/j.ajset.20251004.15 |
| Page(s) | 203-213 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Assistive-technology, Deafblind Users, ESP32, Smart Wearables, Vibration Alert, GPS Tracking
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APA Style
Bari, A. A., Antar, M. F. F., Islam, S., Alam, S. S., Esam, N. R., et al. (2025). A Low-cost Smart Shoe Solution for Real-Time Obstacle Detection and Location Monitoring in Deafblind Users. American Journal of Science, Engineering and Technology, 10(4), 203-213. https://doi.org/10.11648/j.ajset.20251004.15
ACS Style
Bari, A. A.; Antar, M. F. F.; Islam, S.; Alam, S. S.; Esam, N. R., et al. A Low-cost Smart Shoe Solution for Real-Time Obstacle Detection and Location Monitoring in Deafblind Users. Am. J. Sci. Eng. Technol. 2025, 10(4), 203-213. doi: 10.11648/j.ajset.20251004.15
AMA Style
Bari AA, Antar MFF, Islam S, Alam SS, Esam NR, et al. A Low-cost Smart Shoe Solution for Real-Time Obstacle Detection and Location Monitoring in Deafblind Users. Am J Sci Eng Technol. 2025;10(4):203-213. doi: 10.11648/j.ajset.20251004.15
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Download@article{10.11648/j.ajset.20251004.15,
author = {Al Azim Bari and Md. Farhan Fuad Antar and Sadia Islam and Sadman Shahriar Alam and Naimur Rahman Esam and S. M. Tanvir Hassan Shovon},
title = {A Low-cost Smart Shoe Solution for Real-Time Obstacle Detection and Location Monitoring in Deafblind Users},
journal = {American Journal of Science, Engineering and Technology},
volume = {10},
number = {4},
pages = {203-213},
doi = {10.11648/j.ajset.20251004.15},
url = {https://doi.org/10.11648/j.ajset.20251004.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20251004.15},
abstract = {This paper presents the design and development of a Smart Shoe System intended to assist deafblind individuals in navigating their surroundings safely and independently. The system integrates ultrasonic sensors, vibration motors, active buzzers, and a GPS module, all managed by an ESP32 microcontroller. Ultrasonic sensors continuously detect obstacles in the user’s path, while vibration and sound feedback provide real-time alerts to prevent collisions. The integrated GPS module enables real-time location tracking through a mobile application, allowing caregivers to monitor the user remotely. The system operates on rechargeable Li-ion batteries with a DC–DC buck converter ensuring stable power regulation. Experimental testing conducted in open, urban, and obstructed environments demonstrated approximately 92.4% obstacle detection accuracy and ±5 m GPS precision, confirming the system’s effectiveness in providing reliable environmental awareness and location monitoring. The proposed design is lightweight, portable, and energy-efficient, ensuring comfort and convenience for continuous daily use. This work contributes to the advancement of affordable and practical assistive technologies for deafblind individuals by combining real-time obstacle detection, dual feedback alerts, and GPS-based tracking. The ESP32 microcontroller provides flexibility for future enhancements such as Bluetooth connectivity or AI-assisted navigation. Overall, the Smart Shoe System offers a comprehensive, low-cost, and efficient solution that enhances safety, mobility, and independence for individuals with dual sensory impairments.},
year = {2025}
}
TY - JOUR T1 - A Low-cost Smart Shoe Solution for Real-Time Obstacle Detection and Location Monitoring in Deafblind Users AU - Al Azim Bari AU - Md. Farhan Fuad Antar AU - Sadia Islam AU - Sadman Shahriar Alam AU - Naimur Rahman Esam AU - S. M. Tanvir Hassan Shovon Y1 - 2025/12/09 PY - 2025 N1 - https://doi.org/10.11648/j.ajset.20251004.15 DO - 10.11648/j.ajset.20251004.15 T2 - American Journal of Science, Engineering and Technology JF - American Journal of Science, Engineering and Technology JO - American Journal of Science, Engineering and Technology SP - 203 EP - 213 PB - Science Publishing Group SN - 2578-8353 UR - https://doi.org/10.11648/j.ajset.20251004.15 AB - This paper presents the design and development of a Smart Shoe System intended to assist deafblind individuals in navigating their surroundings safely and independently. The system integrates ultrasonic sensors, vibration motors, active buzzers, and a GPS module, all managed by an ESP32 microcontroller. Ultrasonic sensors continuously detect obstacles in the user’s path, while vibration and sound feedback provide real-time alerts to prevent collisions. The integrated GPS module enables real-time location tracking through a mobile application, allowing caregivers to monitor the user remotely. The system operates on rechargeable Li-ion batteries with a DC–DC buck converter ensuring stable power regulation. Experimental testing conducted in open, urban, and obstructed environments demonstrated approximately 92.4% obstacle detection accuracy and ±5 m GPS precision, confirming the system’s effectiveness in providing reliable environmental awareness and location monitoring. The proposed design is lightweight, portable, and energy-efficient, ensuring comfort and convenience for continuous daily use. This work contributes to the advancement of affordable and practical assistive technologies for deafblind individuals by combining real-time obstacle detection, dual feedback alerts, and GPS-based tracking. The ESP32 microcontroller provides flexibility for future enhancements such as Bluetooth connectivity or AI-assisted navigation. Overall, the Smart Shoe System offers a comprehensive, low-cost, and efficient solution that enhances safety, mobility, and independence for individuals with dual sensory impairments. VL - 10 IS - 4 ER -
Department of Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh
Department of Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh
Department of Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh
Department of Electrical and Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh
Department of Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh
Department of Electrical and Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh
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