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Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders
Author(s) -
Marilyn Rantz,
Marjorie Skubic,
Carmen Abbott,
Colleen Galambos,
Mihail Popescu,
James M. Keller,
Erik E. Stone,
Jessie Back,
Steven J. Miller,
Gregory F. Petroski
Publication year - 2015
Publication title -
the gerontologist
Language(s) - English
Resource type - Journals
eISSN - 1758-5341
pISSN - 0016-9013
DOI - 10.1093/geront/gnv044
Subject(s) - gait , radar , physical medicine and rehabilitation , medicine , stride , modalities , fall prevention , poison control , medical emergency , injury prevention , artificial intelligence , computer science , simulation , telecommunications , social science , sociology
Falls are a major problem for the elderly people leading to injury, disability, and even death. An unobtrusive, in-home sensor system that continuously monitors older adults for fall risk and detects falls could revolutionize fall prevention and care.

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