GoSafe is an innovative Internet of Medical Things (IoMT) device designed to improve safety, mobility, and health monitoring for individuals with visual impairments. This wearable system incorporates Arduino-based processing, ultrasonic sensors for obstacle detection, and the MAX30102 optical sensor for continuous monitoring of vital signs, including heart rate, oxygen saturation, and skin temperature. Real-time alerts, delivered through vibration and audio feedback, enable users to navigate safely while maintaining health oversight. Health data is seamlessly transmitted via Bluetooth to a mobile application, allowing caregivers to monitor users remotely and receive immediate alerts in case of abnormalities. Performance evaluations demonstrate GoSafe's reliability and precision. Heart rate monitoring showed a negligible deviation of 0.5%, while SPO2 and skin temperature measurements achieved deviation margins of 0.18% and 0.2%, respectively, when compared with medical-grade devices. Testing across multiple participants confirmed its consistent accuracy and robust functionality. With its modular and scalable design, GoSafe is adaptable for future advancements such as GPS integration and machine learning-based analytics. By combining mobility assistance with proactive health management, GoSafe empowers visually impaired users to navigate independently and securely, while ensuring continuous health monitoring. This dual-purpose device is a major advancement in assistive technology, connecting healthcare needs and accessibility in a practical and affordable way that supports the United Nations Sustainable Development Goal (SDG) 3 by ensuring healthy lives and promoting the well-being for individuals with impairments.
| Published in | Journal of Electrical and Electronic Engineering (Volume 13, Issue 6) |
| DOI | 10.11648/j.jeee.20251306.12 |
| Page(s) | 255-266 |
| 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, Blindness Support, IoMT, Real-time Health Monitoring, Sensors
| [1] | World Health Organization, "World report on vision," 2019. |
| [2] | M. Bourne et al., "Causes of vision loss worldwide, 1990–2010: a systematic analysis," The Lancet Global Health, vol. 1, no. 6, 2013. |
| [3] | J. C. Chanfreau et al., "Mental health impacts of vision impairment," The Journal of Visual Impairment & Blindness, vol. 115, no. 3, 2021. |
| [4] | H. Pal et al., "Assistive technology for the visually impaired: Current status and future directions," Assistive Technology Journal, vol. 33, no. 4, 2022. |
| [5] | L. Gupta et al., "IoMT-based remote health monitoring for visually impaired individuals," Sensors, vol. 22, no. 5, 2022. |
| [6] | T. Zhang, "Wearable assistive technology for safe navigation," IEEE Access, vol. 9, 2022. |
| [7] | J. Walters, "Health and mobility assistive devices for the blind," Assistive Technology, vol. 34, no. 3, 2021. |
| [8] | P. Fernandes et al., "Emerging trends in IoMT-based health monitoring," IEEE Access, vol. 9, pp. 77083-77096, 2021. |
| [9] | S. Reza et al., "IoMT: Benefits, applications, and challenges," Health Informatics Journal, vol. 28, no. 1, 2022. |
| [10] | T. Zhang and L. Xu, "Wearable IoMT devices for chronic disease management," Sensors, vol. 22, no. 7, 2022. |
| [11] | J. Mitchell et al., "Security and privacy concerns in IoMT systems," Journal of Healthcare Engineering, vol. 2022, pp. 1-12, 2022. |
| [12] | B. Smith et al., "Data security in IoMT: Challenges and solutions," International Journal of Medical Informatics, vol. 145, 2020. |
| [13] | A. K. Patel et al., "GoSafe: An IoMT solution for the blind and visually impaired," Assistive Technology Journal, vol. 35, no. 2, 2023. |
| [14] | MAXIM Integrated, "MAX30102 Pulse Oximeter and Heart Rate Sensor for Wearable Health." Available at: |
| [15] | Banzi, M., & Shiloh, M. (2014). Getting Started with Arduino. O'Reilly Media. |
| [16] | Palve, A. (2019). "Photoplethysmography: Technology and Applications." International Journal of Research in Engineering and Science, 7(4), 1-6. |
| [17] | Murthy, C. S. R. (2020). "Applications of Ultrasonic Sensors in Obstacle Detection." Journal of Sensor Technology, 10(3), 45-50. |
| [18] | Smith, J. (2020). "Wireless Communication in IoT Healthcare Applications." Journal of Emerging Technology and Innovation, 15(2), 105-112. |
| [19] | Veera Boopathy, E., Peer Mohamed Appa, M. A. Y., Pragadeswaran, S., Danasekaran, R., Gowtham, M., Kishore, R., Vimalraj, P., & Vissnuvardhan, K. (2023). A data driven approach through IoMT based patient healthcare monitoring system. Journal of Healthcare Engineering, 2023, 1-12. |
| [20] | Park, H., Kim, S., & Choi, J. (2021). Modular architectures in IoMT systems: Enhancing scalability and adaptability. IoT Journal, 7(8), 7463-7475. |
| [21] | Smith, K., & Lee, T. (2020). Challenges in the design of IoMT devices for healthcare applications. IEEE Access, 8, 102045-102056. |
| [22] | Islam, A. J., Farhad, M. M., Alam, S. S., Chakraborty, S., Hasan, M. M., & Nesar, M. S. B. (2018). Design, development and performance analysis of a low-cost health-care monitoring system using an Android application. 2018 2nd International Conference on Innovations in Science, Engineering and Technology (ICISET), 401-406. |
| [23] | Mandal, S., Gupta, R., & Singh, A. (2020). Ultrasonic sensor-based obstacle detection systems for visually impaired individuals. Sensors and Actuators A: Physical, 303, 111779. |
| [24] | Chen, Y., Zhang, J., & Li, X. (2022). Advances in IoMT-based remote health monitoring systems: Applications and challenges. Journal of Medical Systems, 46(3), 21-35. |
| [25] | Alam, S. S., Islam, A. J., & Ahammad, K. T. (2018). Design and development of a low-cost IoT-based environmental pollution monitoring system. 2018 International Conference on Electrical, Computer and Communication Engineering (ECCE), 401-406. |
| [26] | Ghosh, A., Mukherjee, D., & Roy, S. (2019). Multimodal feedback in assistive technologies for the visually impaired: A usability study. Assistive Technology, 31(2), 89-100. |
APA Style
Das, A., Rohan, R. M., Niloy, S. S., Alam, S. S., Sheikh, P. P., et al. (2025). GoSafe: A Dual-Purpose Modular IoMT Device for Individuals with Visual Impairments. Journal of Electrical and Electronic Engineering, 13(6), 255-266. https://doi.org/10.11648/j.jeee.20251306.12
ACS Style
Das, A.; Rohan, R. M.; Niloy, S. S.; Alam, S. S.; Sheikh, P. P., et al. GoSafe: A Dual-Purpose Modular IoMT Device for Individuals with Visual Impairments. J. Electr. Electron. Eng. 2025, 13(6), 255-266. doi: 10.11648/j.jeee.20251306.12
@article{10.11648/j.jeee.20251306.12,
author = {Anik Das and Robayed Mahmud Rohan and Saumik Saha Niloy and Sadman Shahriar Alam and Protik Parvez Sheikh and Abu Sufian},
title = {GoSafe: A Dual-Purpose Modular IoMT Device for Individuals with Visual Impairments},
journal = {Journal of Electrical and Electronic Engineering},
volume = {13},
number = {6},
pages = {255-266},
doi = {10.11648/j.jeee.20251306.12},
url = {https://doi.org/10.11648/j.jeee.20251306.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20251306.12},
abstract = {GoSafe is an innovative Internet of Medical Things (IoMT) device designed to improve safety, mobility, and health monitoring for individuals with visual impairments. This wearable system incorporates Arduino-based processing, ultrasonic sensors for obstacle detection, and the MAX30102 optical sensor for continuous monitoring of vital signs, including heart rate, oxygen saturation, and skin temperature. Real-time alerts, delivered through vibration and audio feedback, enable users to navigate safely while maintaining health oversight. Health data is seamlessly transmitted via Bluetooth to a mobile application, allowing caregivers to monitor users remotely and receive immediate alerts in case of abnormalities. Performance evaluations demonstrate GoSafe's reliability and precision. Heart rate monitoring showed a negligible deviation of 0.5%, while SPO2 and skin temperature measurements achieved deviation margins of 0.18% and 0.2%, respectively, when compared with medical-grade devices. Testing across multiple participants confirmed its consistent accuracy and robust functionality. With its modular and scalable design, GoSafe is adaptable for future advancements such as GPS integration and machine learning-based analytics. By combining mobility assistance with proactive health management, GoSafe empowers visually impaired users to navigate independently and securely, while ensuring continuous health monitoring. This dual-purpose device is a major advancement in assistive technology, connecting healthcare needs and accessibility in a practical and affordable way that supports the United Nations Sustainable Development Goal (SDG) 3 by ensuring healthy lives and promoting the well-being for individuals with impairments.},
year = {2025}
}
TY - JOUR T1 - GoSafe: A Dual-Purpose Modular IoMT Device for Individuals with Visual Impairments AU - Anik Das AU - Robayed Mahmud Rohan AU - Saumik Saha Niloy AU - Sadman Shahriar Alam AU - Protik Parvez Sheikh AU - Abu Sufian Y1 - 2025/12/09 PY - 2025 N1 - https://doi.org/10.11648/j.jeee.20251306.12 DO - 10.11648/j.jeee.20251306.12 T2 - Journal of Electrical and Electronic Engineering JF - Journal of Electrical and Electronic Engineering JO - Journal of Electrical and Electronic Engineering SP - 255 EP - 266 PB - Science Publishing Group SN - 2329-1605 UR - https://doi.org/10.11648/j.jeee.20251306.12 AB - GoSafe is an innovative Internet of Medical Things (IoMT) device designed to improve safety, mobility, and health monitoring for individuals with visual impairments. This wearable system incorporates Arduino-based processing, ultrasonic sensors for obstacle detection, and the MAX30102 optical sensor for continuous monitoring of vital signs, including heart rate, oxygen saturation, and skin temperature. Real-time alerts, delivered through vibration and audio feedback, enable users to navigate safely while maintaining health oversight. Health data is seamlessly transmitted via Bluetooth to a mobile application, allowing caregivers to monitor users remotely and receive immediate alerts in case of abnormalities. Performance evaluations demonstrate GoSafe's reliability and precision. Heart rate monitoring showed a negligible deviation of 0.5%, while SPO2 and skin temperature measurements achieved deviation margins of 0.18% and 0.2%, respectively, when compared with medical-grade devices. Testing across multiple participants confirmed its consistent accuracy and robust functionality. With its modular and scalable design, GoSafe is adaptable for future advancements such as GPS integration and machine learning-based analytics. By combining mobility assistance with proactive health management, GoSafe empowers visually impaired users to navigate independently and securely, while ensuring continuous health monitoring. This dual-purpose device is a major advancement in assistive technology, connecting healthcare needs and accessibility in a practical and affordable way that supports the United Nations Sustainable Development Goal (SDG) 3 by ensuring healthy lives and promoting the well-being for individuals with impairments. VL - 13 IS - 6 ER -