Abstract
We conducted a scoping review to map the rapidly evolving landscape of wearable and ambient sensing technologies for monitoring people with dementia across home and institutional settings. We analyzed empirical sensing studies (2015-2025) to identify and inform future technical and human-centered design requirements. Five key implementation principles emerge: (1) human-centered design involving all stakeholders to augment rather than replace caregivers; (2) personalized, adaptable solutions that support autonomy across settings and severity levels instead of standardized approaches; (3) integration with existing workflows with adequate training and support; (4) proactive privacy and consent considerations, especially for ambient monitoring of residents and caregivers; and (5) cost-effective, ethical, equitable, scalable solutions with quantifiable outcomes. This paper identifies gaps, trends and opportunities for developing sensing systems that address the complex challenges, while enhancing automation and autonomy, in dementia care.
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CITATION STYLE
Kadem, M., Masri, S., Innes, A., & Zheng, R. (2026). Human-Centered Ambient and Wearable Sensing for Automated Monitoring in Dementia Care: A Scoping Review. IEEE Internet of Things Journal. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/JIOT.2026.3657140
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