Wearable, Ambient and Smart-Home IoT Sensing for Dementia Care in the Elderly A Comparative Review and Integrated Monitoring Framework
Year: 2026
Type: article
Abstract: This paper presents a comparative review of 15 studies published between 2016 and 2022 on Internet of Things (IoT)-based sensing technologies for dementia care and mild cognitive impairment. The reviewed approaches are categorized into wearable, ambient, and smart-home sensing systems. Their sensing modalities, monitoring capabilities, reported performance, and limitations are examined. Wearable devices capture physiological and movement-related signals, while ambient sensors monitor daily activities and smart-home systems support safety and caregiving. The findings reveal challenges related to small sample sizes, privacy, usability, and inconsistent evaluation methods. Since reported performance metrics vary across studies, direct comparisons are limited. To address these challenges, a conceptual four-layer integrated monitoring framework is proposed. It combines multiple sensing technologies with edge processing, personalized analytics, and caregiver interfaces. The framework highlights opportunities for continuous monitoring and improved dementia care but requires future implementation and clinical validation.
Author: CHIPPADA, JAYANTH KUMAR
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225771521
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