Sensor Systems Identify Senior Citizens at Risk of Falling Within Three Weeks

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Story Contact(s):
Sheena Rice, ricesm@missouri.edu, 573-882-8353

COLUMBIA, Mo. – Each year, millions of people—especially those 65 and older—fall. Such falls can be serious, leading to broken bones, head injuries, hospitalizations or even death.  Now, researchers from the Sinclair School of Nursing and the College of Engineering at theUniversity of Missouri found that sensors that measure in-home gait speed and stride length can predict likely falls. This technology can assist health providers to detect changes and intervene before a fall occurs within a three-week period.

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