PilOT-Measure: a mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments
This study highlights the positive role that mobile depth-sensing technologies can potentially play in improving the efficiency and accuracy of falls risk assessments, hence, reducing levels of equipment abandonment and falls related injuries at home. Future work will focus on improving marker placement, measurement accuracy, and accuracy consistency and explore the potential of using PilOT-Measure as a falls risk patient self-assessment tool.
Authors
- Georgia Spiliotopoulou
- Arthur Money (ORCID: https://orcid.org/0000-0003-1063-3680)
- Anita Atwal (ORCID: https://orcid.org/0000-0001-8557-019X)
- Zear Ibrahim (ORCID: https://orcid.org/0000-0001-7385-7329)
Institutions
- University of East London (GB)
- Brunel University of London (GB)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s12911-025-03149-7
- Citations
- 1
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 4.76