Michael Lorenz
Papers
1
Total Citations
2
H-Index
1
About
Michael Lorenz is an emerging researcher specializing in human motion capture and inertial sensing technologies, with a particular focus on real-time biomechanical tracking systems. His work sits at the intersection of sensor fusion, kinematic modeling, and wearable computing — fields with growing relevance across sports science, rehabilitation, and ergonomics. His most notable contribution to date is *JointTracker*, a real-time inertial kinematic chain tracking system capable of estimating joint positions during in-field motion capture. This work addresses a critical gap in existing approaches: where camera-based markerless systems suffer from limited field of view and occlusion challenges, Lorenz's inertial-based framework offers a portable and occlusion-free alternative suited for real-world deployment. Published in 2025 and already accumulating early citations, the work signals meaningful interest from the motion capture community. While Lorenz's citation profile is still developing — reflecting the early stage of a promising career — the practical significance of his research is clear. By enabling accurate, unconstrained human motion analysis outside laboratory settings, his contributions have direct implications for clinical movement assessment, athlete performance monitoring, and human-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1