Smart Dementia Care: IOT-Based Location Tracking and Medication Reminder System
| International Journal of Electrical and Electronics Engineering |
| © 2025 by SSRG - IJEEE Journal |
| Volume 12 Issue 10 |
| Year of Publication : 2025 |
| Authors : Novi Azman, Cepi Sukmayara |
10.14445/23488379/IJEEE-V12I10P113
How to Cite?
Novi Azman, Cepi Sukmayara, "Smart Dementia Care: IOT-Based Location Tracking and Medication Reminder System," SSRG International Journal of Electrical and Electronics Engineering, vol. 12, no. 10, pp. 170-185, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I10P113
Abstract:
The increasing proportion of elderly individuals in Indonesia has contributed to a significant rise in dementia cases, projected to escalate from 1.2 million in 2015 to 3.9 million by 2050. This study aims to address key challenges in dementia care-particularly poor medication adherence and disorientation-through the development of a real-time monitoring system. The proposed system utilizes an Internet of Things (IoT)-based architecture that integrates Global Positioning System (GPS), geofencing, Google Maps, and Telegram for continuous patient tracking and communication. Materials used include a GPS-enabled wearable device, a microcontroller unit, and a communication module configured to interface with a cloud-based notification system. The method involves defining a 240-meter geofence radius as a safe zone for patients and triggering alerts when this boundary is crossed. Medication adherence is supported through automated voice reminders and Telegram message notifications. Experimental results demonstrate an average localization error of 6.6 meters. The system achieves a response time of 23 seconds for voice alerts and 34 seconds for Telegram notifications. These findings indicate that, despite minor communication delays, the system is capable of enhancing patient safety and facilitating timely intervention by caregivers. This research implies the feasibility of low-cost, scalable IoT solutions for dementia care, and future work will explore system scalability, integration with electronic health records, and adaptive learning algorithms for personalized care patterns.
Keywords:
Dementia, Monitoring, Geofencing, Internet of Things, Telegram.
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