Yunwang Chen

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Yunwang Chen is a rising researcher at the intersection of wireless sensing, robotics, and smart healthcare. His primary research focuses on developing non-intrusive, collaborative systems for human activity monitoring and emergency response. Chen’s most notable contribution is his pioneering work on integrating Wi-Fi channel state information (CSI) with mobile companion robots for fall detection. In his 2024 paper, "Collaborative Fall Detection and Response Using Wi-Fi Sensing and Mobile Companion Robot," he demonstrated a novel system capable of detecting falls in non-line-of-sight (NLOS) scenarios—a critical advancement over traditional camera-based or wearable sensors. By leveraging CSI disruptions caused by human movements, his approach enables continuous, privacy-preserving monitoring without requiring the user to carry any device. While his work is still early-stage, with his top-cited paper currently accumulating 1 citation, Chen’s innovative fusion of passive sensing and robotic actuation represents a promising direction for aging-in-place technologies. His research addresses a pressing societal need: providing reliable, autonomous fall detection and immediate robotic assistance for elderly individuals living alone.