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.”
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