Title: Low-powered IoT device for monitoring dementia patients using A9G module and ESP32 C3 MCU in cloud environment

Authors: Kumar Saurabh; Manish Madhava Tripathi; Satyasundara Mahapatra

Addresses: Department of Computer Science & Engineering, Integral University, Lucknow, Uttar Pradesh, India ' Department of Computer Science & Engineering, Integral University, Lucknow, Uttar Pradesh, India ' Department of Computer Science & Engineering, Pranveer Singh Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

Abstract: As the world's population ages, more and more people are affected by a disease known as 'dementia' that causes gradual mental decline. Owing to this, not only the patient but also the caregiver's personal life and health system face challenges. To keep the system smart, an intelligent monitoring system is needed. Development of an optimised IoT device with the latest sensors and micro-controllers which stores the data in cloud environment in a systematic manner is the basic objective. This research presents a methodology which optimises a normal monitoring device into advanced IoT system using A9G Module and ESP32 C3 MCU. After the optimisation, the evaluation of the device is based on various qualitative parameters and overall effectiveness in real-world applications. The findings suggest that while simple IoT devices offer indoor monitoring, the proposed device provide comprehensive monitoring which enhance the patient's safety and the caregiver's peace of mind.

Keywords: dementia; efficient utilisation; IoT-based monitoring; patient care; data analysis; privacy; wearable devices.

DOI: 10.1504/IJGUC.2025.148536

International Journal of Grid and Utility Computing, 2025 Vol.16 No.5/6, pp.493 - 504

Received: 29 Jun 2024
Accepted: 10 Aug 2024
Published online: 11 Sep 2025 *

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