Jihui Chen

About

Jihui Chen is a researcher in human-robot interaction and motion sensing, with a focus on overcoming the challenges of robust, real-time hand tracking. Their most-cited work, "Motion tracking of both hands with occasional mutual occlusion using RGB-D camera and IMU" (2017, 5 citations), addresses a critical bottleneck in telerobotics and learning from demonstration: the loss of tracking accuracy when hands occlude each other. By fusing data from an RGB-D camera with inertial measurement units (IMUs), Chen developed a system that maintains full coverage and high precision even during mutual occlusion—a problem that plagues many vision-only approaches. This contribution is foundational for applications ranging from motion-sensing games to advanced robotic teleoperation, where seamless, uninterrupted tracking is essential. Chen’s work demonstrates a practical engineering mindset, combining sensor fusion and algorithmic innovation to push the boundaries of natural human-robot interfaces. While their citation count is modest, the specificity and technical depth of their solution mark them as a specialist whose insights are directly applicable to real-world systems requiring reliable, occlusion-robust motion capture.

Research Focus

Key Achievements

Top Papers

1. 1
   Motion tracking of both hands with occasional mutual occlusion using RGB-D camera and IMU

   5 citations · 2017

Key Collaborators

Contact & Links