A Review of IoT-based Smart Home Healthcare Systems with Machine Learning-based Activity Recognition

Manpreet SinghAssistant Professor, Sant Baba Bhag Singh University, Jalandhar, Punjab, IndiaAkashdeep Singh RanaAssistant Professor, Sant Baba Bhag Singh University, Jalandhar, Punjab, India

Vol 9 No 6 (2025): Volume 9, Issue 6, June 2025 | Pages: 158-161

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 23-06-2025

doi Logo doi.org/10.47001/IRJIET/2025.906020

Abstract

The integration of the Internet of Things (IoT) and machine learning (ML) has enabled the development of smart home healthcare systems that enhance the quality of life for individuals, particularly the elderly and those with chronic conditions. These systems leverage IoT devices to monitor daily activities and ML algorithms to recognize patterns, detect anomalies, and provide personalized healthcare solutions. This review focusing on IoT-based smart home healthcare systems with ML-based activity recognition. The findings highlight advancements in real-time monitoring, predictive analytics, and decision support, emphasizing their potential to improve patient outcomes, reduce healthcare costs, and enable independent living. Challenges such as data privacy, interoperability, and computational efficiency are also discussed, along with future research directions.

Keywords

IoT, Smart Home Healthcare, Machine Learning, Internet of Things, ML, IoT-based smart home healthcare, IoT devices


Citation of this Article

Manpreet Singh, & Akashdeep Singh Rana. (2025). A Review of IoT-based Smart Home Healthcare Systems with Machine Learning-based Activity Recognition. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(6), 158-161. Article DOI https://doi.org/10.47001/IRJIET/2025.906020

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