Atlantic radar in motion software#
Evaluation of the Hurricane Research Division Doppler radar analysis software using synthetic data. The relationship between spatial variations in the structure of convective bursts and tropical cyclone intensification using airborne Doppler radar. The algorithm looks something like this, but it goes on for 53 pages.Wadler, J.B., R.F. “In the future, I think the radar is going to be like a companion, living with the person, learning about the habits of the person, the way he walks, the way he sits, the way he stands.”Īmin’s goal with the algorithm is to be able to offer something extremely reliable, “so that when we say there is a fall, then we are very sure it is a fall.” The proposed technique to process radar Doppler signatures for fall detection involves three parameters: extreme frequency magnitude, extreme frequency ratio, and length of the event. "So that when this person falls, the radar knows how this person falls, not how anybody falls.” “I want to train the radar to say, this person is, let’s say paralyzed, so the way this person walks is different than the general population," Amin says. For people who use walkers or canes, their patterns will look different from people who don’t, and the system can learn to recognize them.
Atlantic radar in motion how to#
An algorithm would learn your habits and know how to differentiate a sit from a fall. It’s what you look like on radar when you’re walking, sitting, standing, or falling. He calls it a Doppler Frequency Signature. The system he is working on would learn an individual person’s ways of moving.
So the algorithm must be well trained to know the difference. The last, last thing you want is for the device to think a person is drinking tea when in fact they have sustained a serious fall. “The last thing you want,” Amin says, “is to alert the first responder that somebody fell they rush in, and the person is just sitting down drinking tea.” Since a radar signal might look similar when a person is plopping down in a bed and when they are slowly falling forward as their walker slides out of reach, the challenge is in minimizing false alarms. That’s not always an easy distinction, though. At the most basic level, the radar will detect movement and classify the frequencies it receives in one of two ways: fall or no fall. The radar device emits and receives frequencies that vary depending on the motion of a person’s body. If a person falls behind a metal file cabinet, they could be lost. For example, penetrating a bathroom wall of ceramic tiles could be challenging. Though one living space could require multiple units, depending on the type of walls. If you put the unit anywhere in the house, it can detect that motion and classify it through different rooms. The device is meant to work through walls, just like spy equipment. Radar motion detection is also an alternative to wearable devices such as the Life Alert bracelet that, Amin says, people may forget or find uncomfortable. “There’s a privacy issue if you put cameras in bedrooms or bathrooms. Radar monitoring in living spaces is appealing as an alternative to cameras, Amin says. This has been really of interest for the defense industry for many, many years.” “If somebody is shot, for example, the way he or she walks is different than a regular walk. “We could detect a female versus male walking, a child versus a dog,” Amin tells me. “In the future, I think the radar is going to be like a companion, living with the person, learning about the habits of the person."įor national defense and security, this technology is used when you are trying to find out whether there are people behind walls, inside enclosed structures, and to know how many are there. Now it also includes using radar to identify when people fall in their homes.
Amin’s research focuses on various applications for radar motion-detection technology, including search and rescue, military, and law enforcement such as robberies and hostage situations.
He was the lone academic representative at several NATO conferences on through-the-wall radar imaging. Moeness Amin is the director of the Center for Advanced Communications in the college of engineering at Villanova University. So an expert in radar imaging is on the case.ĭr. Wearable devices and home-monitoring video cameras have become widely popular, but they have drawbacks in that they can be invasive or annoying. It has been reported that almost one in one thousand of those falls results in death. The most common injury-related reason that elderly people are admitted to the hospital is that they fell over.
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