Jiahong Han

Papers

Total Citations

H-Index

About

Jiahong Han is a leading researcher in human motion tracking and inertial navigation, with a primary focus on developing robust orientation estimation algorithms for wearable and robotic systems. His most cited work, "Estimating Three-Dimensional Body Orientation Based on an Improved Complementary Filter for Human Motion Tracking" (2018, 44 citations), introduces a novel quaternion-based complementary filter that dynamically fuses angular rate integration with the Factored Quaternion Algorithm (FQA). This contribution significantly enhances the accuracy and stability of rigid body orientation estimation using Inertial Measurement Units (IMUs), directly impacting fields such as rehabilitation robotics, human-computer interaction, and autonomous navigation. By addressing the critical challenge of sensor drift and dynamic motion artifacts, Han’s algorithm provides a computationally efficient solution that outperforms traditional filters. His work has been widely adopted by researchers developing wearable motion capture systems and assistive technologies. Han’s research continues to bridge the gap between theoretical sensor fusion and practical deployment, making him a key figure in advancing real-time human motion analysis and its applications in healthcare and robotics.