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Elder abuse could soon be detected in real time

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https://academictimes.com/elder-abuse-co...real-time/

INTRO: Researchers at the University of Iowa have invented a way to autonomously detect on-camera violence that could someday flag or even prevent the abuse of seniors and other vulnerable people.

In a patent application published April 8, the system is described as using motion-tracking and deep-learning methods to identify possible abuse on surveillance cameras. "The alert doesn't go directly to a police station," Karim Abdel-Malek, a professor of biomedical engineering at the University of Iowa and a lead inventor of the technology, told The Academic Times. "It goes to maybe a supervisor, and they actually get a picture of what's going on, so they can go review the video and see what happened."

For the past 15 years, Abdel-Malek and his colleagues have been working on virtual soldiers named Santos and Sophia — physics-based human simulators used by the U.S. military and private companies to study body movement. From that project, the team developed a camera capable of tracking human motion in 3D.

"If you've seen the movie 'Avatar' in 3D, they put markers on the body with reflectors and then shine infrared light to capture the motion," he explained. "Then they use that motion to replicate onto the character. What we did is [allow] a single camera — any webcam or security camera — to do the same thing. That was the first invention."

The technology spun off in several different directions, including a security company called Malum Terminus Technologies, Inc. that hosts a platform for autonomously monitoring live surveillance feeds for drawn weapons, slipping hazards, people who have fallen and other safety risks. "For example, the University of Iowa has 3,000 cameras all over [campus]," Abdel-Malek said. "What we do is tap into these cameras through the servers and run the program, which is able to say, 'Someone with a gun is approaching the school.'"

With the ability to measure human movement, including the speed of arm and leg motions, the team decided to use its invention to detect when someone is struck. To be flagged by the system, a person would have to raise their arm above a certain level and hit someone above specific velocity and acceleration thresholds... (MORE)
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