Byung Ju Dan

Papers

Total Citations

H-Index

About

Byung Ju Dan is a researcher whose work sits at the intersection of biomechanics, assistive robotics, and rehabilitation engineering. His key contributions focus on improving motion analysis for individuals using assistive devices—a challenging area where traditional marker-based motion capture often fails due to occlusion. In his most cited work, "Hidden marker position estimation during sit-to-stand with walker," Dan tackled this problem by integrating a previously developed robotic system, the Smart Mobile Walker, to estimate hidden lower-limb marker positions during the critical sit-to-stand transition. This innovation enables more accurate biomechanical analysis for patients who rely on walkers, advancing both clinical assessment and robotic assistance. While his citation count remains modest, the work is notable for its technical rigor and practical relevance to rehabilitation robotics. Dan’s research bridges the gap between human motion capture and intelligent assistive devices, offering a foundation for future studies in real-world, unobstructed movement analysis. His contributions are particularly valuable for researchers developing personalized, data-driven rehabilitation strategies.