$450,000 NSF grant to track and detect motion in people

MSU researchers to study movement disorders and falls in the elderly  

Two researchers from Michigan State University are working on designing and implementing scalable wireless systems that will assist caregivers with real-time patient motion tracking to detect and prevent falls for caregivers of elderly falls in real-time.

Huacheng Zeng, an assistant professor in the Department of Computer Science and Engineering, and Jeffrey Nanzer, an associate professor in the Department of Electrical and Computer Engineering, have been awarded a $450,000 grant from the National Science Foundation to utilize radio frequency (RF) tag-based wireless sensing technology. 

“We’ll design and implement a scalable wireless system to track multiple people’s movements,” Zeng explained. “It will help us develop real-life applications to diagnose movement disorders, continuously monitor children’s behaviors, and let caregivers know when an elderly patient has fallen.”

Click here to read the full story and learn more about some of the exciting research being done at MSU

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