Using Indoor Movement Complexity in Smart Homes to Detect Frailty in Older Adults: Multiple-Methods Case Series Study
The complexity of older adults' smart home data is highly diverse. Changes in health and frailty influence indoor movement complexity. Although the findings suggest a relationship between frailty and complexity, confounding factors, such as home layout, visitors, external events, and technology disruptions, may influence sensor signals.
Authors
- Roschelle Fritz (ORCID: https://orcid.org/0000-0002-0320-6763)
- Diane J. Cook (ORCID: https://orcid.org/0000-0002-4441-7508)
- Katherine Wuestney (ORCID: https://orcid.org/0000-0002-5691-0041)
- Catherine Van Son (ORCID: https://orcid.org/0000-0002-0491-5748)
Institutions
- UC Davis Health (US)
- Washington State University (US)
Publication Details
- Journal
- JMIR Aging
- Published
- 2025-11-27
- DOI
- https://doi.org/10.2196/77322
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00