Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities
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This paper presents some recent developments in the field of wearable sensors and systems that are relevant to rehabilitation and provides examples of systems with evidence supporting their effectiveness for rehabilitation. A discussion of current challenges and future developments for selected systems is followed by suggestions for future directions needed to advance towards wider deployment of wearable sensors and systems for rehabilitation.
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These data may reflect users' living habits and health status and are at risk of being maliciously obtained or tampered with.
“These data may reflect users' living habits and health status and are at risk of being maliciously obtained or tampered with 176,183,184 .”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [184]
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- Authors
- Rodgers, M. M., Alon, G., Pai, V. M., & Conroy, R. S.
- Affiliations
- University of Maryland, Baltimore (US)
- Data Collaboratory, LLC, Potomac, MD, USA
- National Institutes of Health (US)
- Corresponding author
- Rodgers, Mary M
- Venue
- Journal of Rehabilitation and Assistive Technologies Engineering
- Publisher
- SAGE Publications
- Published
- 2019-01
- Volume
- 6
- Pages
- 2055668319839607-2055668319839607
- ISSN
- 2055-6683 (ISSN-L)
- PMC
- PMC6582279
- OpenAlex
- W2941282874
- Cited by
- 119
- References
- 69
- Citations by year
- 2026: 9 · 2025: 28 · 2024: 21 · 2023: 18 · 2022: 15 · 2021: 19 · 2020: 8 · 2019: 1
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Rehabilitation and Assistive Technologies Engineering (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- wearable sensors, wearable systems, rehabilitation, active lifestyle, rehabilitation effectiveness, assistive technology, future research directions
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