A Preliminary Usability Evaluation of an Artificial Intelligence-Based, Motion-Detecting Wearable Device: The Geriatric Functional Assessment System
The GFAS prototype shows considerable promise in evaluating physical function in older adults and that additional steps are needed to maximize usability.
Authors
- Raman K. Singh (ORCID: https://orcid.org/0000-0002-7114-5384)
- Jennifer G. Poole
- M. Gilliam (ORCID: https://orcid.org/0000-0002-5882-9802)
- Xiaohui Liang (ORCID: https://orcid.org/0000-0001-6351-2538)
- Paige Bramblett
- David H. Lynch (ORCID: https://orcid.org/0000-0002-2512-9367)
- Danae C. Gross (ORCID: https://orcid.org/0000-0003-3892-9408)
- John A. Batsis (ORCID: https://orcid.org/0000-0002-0845-4416)
- Chaterlee Pamintuan
- Beckham Nora
Institutions
- Boston University (US)
- University of North Carolina at Chapel Hill (US)
- University of Massachusetts Boston (US)
Publication Details
- Journal
- The Journals of Gerontology Series A
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1093/gerona/glaf044
- Citations
- 1
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 1.03
Funders
- University of Pennsylvania
- Johns Hopkins University
- National Institutes of Health
- University of Massachusetts Amherst
- National Center for Advancing Translational Sciences
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill