IoT Assistive Technology for People with Disabilities

Matewere D. M.*
Department of Computer Science and Information Technology, DMI-St. John the Baptist University, Lilongwe, Malawi.
Periodicity:October - December'2024

Abstract

This system is dedicated to developing a Smart Medication Alert System using Arduino and various hardware components designed to improve medication adherence, particularly for individuals with disabilities. The system combines visual, auditory, and display-based notifications through LEDs, a buzzer, and an LCD screen, making it accessible to users with visual impairments or those managing complex medication schedules. With real-time tracking and user-specific reminders, the system prompts users about scheduled medication times, notifies them of missed doses, and provides dosage instructions if necessary. By streamlining the medication-taking process and reducing the risk of missed doses or errors, the system aims to foster greater independence, enhance the user's quality of life, and ultimately support improved health outcomes for those requiring regular medications. After carrying out all the necessary steps highlighted in this paper and writing the required code, the system produces the following results: it accurately alerts the user at the right time to take medication. Yellow, green, and red LEDs are integrated into the system to indicate the device's status. These colored LEDs make it easier for individuals with disabilities, such as hearing impairments, to know when to take medications. For individuals with poor eyesight or color blindness, a buzzer serves the same purpose. The system provides accurate information both on the device itself and on the user interface.

Keywords

Assistive Technology, Medication Adherence, Arduino, Health, Healthcare, Real-time Monitoring, Internet of Things (IoT), Light Emitting Diodes (LED), Microcontroller Unit (MCU), Graphical User Interface (GUI), Wireless Fidelity (WI-FI), Bluetooth Low Energy (BLE).

How to Cite this Article?

Matewere, D. M. (2024). IoT Assistive Technology for People with Disabilities. i-manager’s Journal on Software Engineering, 19(2), 1-10.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.