Document Type
Article
Publication Date
2012
Keywords
housing & daily living, location aware technologies, human movement patterns, sensor technologies
Digital Object Identifier (DOI)
https://doi.org/10.4017/gt.2012.11.02.188.00
Abstract
Falls are very expensive events, costing the US$19 billion annually1. Standardized gait and balance tests are expensive to perform, have limited predictive capability, and cannot be performed on those who cannot stand or walk. A measure of movement path variability (tortuosity) called fractal dimension (D) derived from ultra-wideband RTLS-sensor data recorded on assisted living facility (ALF) residents has been linked to cognitive decline and may provide a means to link fall risk to cognitive decline2. Increased D provided by the residential RTLS-sensor system may provide ALF-administrators with an early warning mechanism that a resident is at a heightened risk for falls by automatically calculating fall risk from movement variability data
Rights Information
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Gerontechnology, v. 11, issue 2, p. 272-273
Scholar Commons Citation
Kearns, William D.; Fozard, James L. PhD; Becker, M. A.; Dion, C.; Craighead, J.; and Jasiewicz, J., "Something in the Way She Moves: Falls and Fractal Dimension" (2012). Rehabilitation and Mental Health Counseling Faculty Publications. 112.
https://digitalcommons.usf.edu/mhs_facpub/112
