Yanjun Xiao

About

Dr. Yanjun Xiao is a leading researcher in wearable sensing, indoor localization, and human motion analysis, whose work bridges the gap between high-precision tracking and practical, cost-effective deployment. Her most cited paper, "Cost-Effective Wearable Indoor Localization and Motion Analysis via the Integration of UWB and IMU" (2020, 57 citations), addresses a critical challenge in ubiquitous computing: achieving reliable indoor positioning without expensive infrastructure. By fusing ultra-wideband (UWB) radio signals with inertial measurement unit (IMU) data, Dr. Xiao’s approach enables robust, real-time motion tracking for applications ranging from elderly care and pediatric monitoring to sports biomechanics and rehabilitation medicine. This work has been widely recognized for its practical impact, offering a scalable solution that overcomes the drift errors of traditional IMU-only systems while maintaining affordability. Her research continues to push the boundaries of wearable technology, making sophisticated motion analysis accessible for clinical and everyday use. Dr. Xiao’s contributions are essential reading for anyone interested in the future of context-aware computing and human-centric sensing.

Research Focus

Key Achievements

Top Papers

1. 1
   Cost-Effective Wearable Indoor Localization and Motion Analysis via the Integration of UWB and IMU

   57 citations · 2020

Key Collaborators

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