Two researchers from Michigan State University will design and implement scalable wireless systems to track and detect motion in people – assisting in diagnosing movement disorders and alerting 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, will use a $450,000 NSF grant for the project, "Towards Real-Time Fine-Grained Tracking in Distributed Large-Scale RF Tag Systems."
The project will employ a radio frequency 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.”
Zeng said children and the elderly will have small, lightweight, and low-cost RF tags attached on their clothes.
To read more about the project, visit egr.msu.edu