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The system is quite simple in construction and does not require the elderly to wear any devices. Instead, the non-wearable sensors are installed in the home to collect data on the physical environment, and to monitor the gait, stride, and speed of the elderly walking anytime, anywhere, and to see if there are any significant changes. The system can help seniors predict the risk of falls. They can walk more safely and have a rest.
According to a team study, when an older person's pace slows to 5 centimeters (2 inches) per second, their probability of falling within three weeks is about 86.3%. The study also showed that when seniors begin to shorten their paces, then in the next few weeks they fall about 50.6%.
A nursing professor, Marilyn Rantz, said: "Aging does not mean that an adult loses his independence." However, for many older people, the risk of falling affects the time that older people remain independent. The accurate predictability of this sensor for falls can also help older people maintain their independence as long as possible.
According to reports, the test was conducted in a retirement village in Missouri. The study was published in the Western Journal of Nursing Research. In summary, this sensor to prevent falls in the elderly is mainly based on the study of the steps of the elderly, suggesting when the elderly should rest and how much the risk of falling is very important to prevent accidents.
(Original title: U.S. R&D step sensor can prevent elderly people from falling)
According to foreign media reports, the most dangerous thing for elderly people over 65 is the problem of falls. But monitoring their every move may greatly affect their independence. So researchers at the University of Missouri developed a step sensor that can prevent elderly people from falling. Their technology can monitor the elderly's footwork. If their footsteps are dangerously changed, not only can mobile alerts be sent to nurses or caregivers, but they can also be sent to the elderly themselves. The goal of the sensor is to prevent falls. If the old man falls suddenly, even in an unconscious situation, the technology will promptly notify relevant personnel, including emergency personnel.