IoT Robotic Medication Dispenser for Elderly Care

DOI

10.2991/978-94-6463-589-8_56How to use a DOI?

Keywords

Internet of Thing; ESP8266; ROT3U; PCA9685

Abstract

This study addresses the urgent need for automated solutions in elderly care, particularly for medication dispensing, to reduce the burden on caregivers. A gap in integrated IoT-enabled robotic systems specifically designed for reliable and accurate medication dispensing in elderly care has been identified. This research developed a prototype of an IoT-enabled robotic arm that enhances automation and provides real-time monitoring for medication delivery in elderly care. The methodology included constructing the ROT3U robotic arm and performing detailed stress, displacement, and strain analyses using SolidWorks. The system was enhanced with Arduino code, connected to the Blynk app for real-time monitoring, and integrated with IoT components such as the ESP8266 microcontroller and PCA9685 driver. A Network Time Protocol (NTP) client was utilized to ensure precise medication dispensing schedules. Initial results indicated that the robotic arm was resilient under operational stresses. Further evaluations were done on improving the arm's performance through additional stress, strain, and displacement analyses. This research bridges the gap by offering an integrated IoT-enabled robotic system developed for accurate and reliable medication dispensing in elderly care. It also promotes the use of technology to alleviate the workload of caregivers, ensuring that elderly patients receive their medication as prescribed. The study presents a viable approach to advancing elderly care with more sophisticated assistive robotic systems.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Suzilawati M-Kayat
AU  - Muhammad Nur Farhan Nasir Ali
AU  - Mohd Hazri Mohd Rusli
PY  - 2024
DA  - 2024/12/01
TI  - IoT Robotic Medication Dispenser for Elderly Care
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 600
EP  - 610
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_56
DO  - 10.2991/978-94-6463-589-8_56
ID  - M-Kayat2024
ER  -