Sensors for Unsupervised Mobility Assessment and Rehabilitation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 1473
Special Issue Editor
Special Issue Information
Dear Colleagues,
Mobility deficits are common due to factors like aging, musculoskeletal issues, neurological disorders, and trauma. These impairments affect daily activities and quality of life. Traditional gait assessments in supervised settings (laboratories or clinics) may miss critical events occurring sporadically or over time—such as mobility fluctuations, rare instability episodes, or responses to interventions.
Advancements in sensor technology now enable ecological mobility assessments through continuous monitoring in daily environments. Unsupervised assessments enhance the detection of clinically relevant events and empower individuals by involving them in their care through personal devices like smartphones and wearables.
This Special Issue explores innovations in sensors for unsupervised mobility assessment in rehabilitation. We invite contributions on how these technologies improve diagnostic accuracy, personalize rehabilitation, and enhance outcomes for those with mobility impairments.
We welcome the submission of original research articles, review papers, and case studies that have not been published elsewhere.
Dr. Philippe Terrier
Guest Editor
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Keywords
- ecological assessment methods in mobility
- unsupervised mobility assessment in aging populations and older adults
- wearable sensors and mobile health devices
- data processing and algorithms for unsupervised data
- remote monitoring and tele-rehabilitation systems
- patient engagement through personal sensing devices
- addressing challenges in data privacy and security
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