Robotic movement sensing systems in the homes of elderly people can predict with a high level of accuracy when a person is at high risk of having a fall and send warnings to support workers or relatives, say researchers
The US study, carried out in a senior housing centre in Missouri, found that telltale signs, including a sudden decline in walking speed, were linked to an 86% chance of having a fall within the next three weeks. Elderly residents who were monitored by the system, which allowed clinicians to intervene before injuries occurred, were able to live independently for 1.8 years longer than those without the technology.
The scientists are now working to create benevolent Big Brother-style systems in which AI software would automatically interpret movement data and send text messages to relatives or support staff when a person was at risk or had suffered a fall.
Marjorie Skubic, a professor of electrical and computer engineering who is pioneering the approach at a residence linked to the University of Missouri, said: “Our goal is to help people age in the home of their choice, which in many cases will be their existing home. People say ‘I want to stay in my own home’.”
