This paper is in the following e-collection/theme issue:

Proposals (eHealth) (88) New Methods (1161) Dementia and Cognitive Decline (725) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (97) Machine Learning (2188) AI in Older Adult Care (43) Assisted Living for the Elderly and Nursing Home Care (210) Falls and Emergency Detection with Sensors and other Technologies (57) Usability and Technology Use Studies with Elder Subjects (287) Internet of Things (101) Methods and Feasibility Studies (495)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53447, first published .
Using a Device-Free Wi-Fi Sensing System to Assess Daily Activities and Mobility in Low-Income Older Adults: Protocol for a Feasibility Study

Using a Device-Free Wi-Fi Sensing System to Assess Daily Activities and Mobility in Low-Income Older Adults: Protocol for a Feasibility Study

Using a Device-Free Wi-Fi Sensing System to Assess Daily Activities and Mobility in Low-Income Older Adults: Protocol for a Feasibility Study

Authors of this article:

Jane Chung1 Author Orcid Image ;   Ingrid Pretzer-Aboff2 Author Orcid Image ;   Pamela Parsons2 ;   Katherine Falls2 Author Orcid Image ;   Eyuphan Bulut3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  2. Salvi S, Garg L, Gurupur V. Stage-Wise IoT Solutions for Alzheimer’s Disease: A Systematic Review of Detection, Monitoring, and Assistive Technologies. Sensors 2025;25(17):5252 View
  3. Houben-Wilke S, Vaes A, Cuijpers M, Diederen G, Evertse S, Jansen J, Loven K, van Melick P, Meys R, Posthuma R, Sillen M, Ubachs-van Zandvoort S, Franssen F, van ’t Hul A, Spruit M. An overview of the importance of allied healthcare for patients with COPD. Expert Review of Respiratory Medicine 2026:1 View