Franziska Schlagenhauf

Georgia Institute of Technology

Papers

2

Total Citations

55

H-Index

2

About

Franziska Schlagenhauf’s research lies at the intersection of human motion analysis and robotics, with a focused expertise in low-cost motion capture systems for human-mimicking robotic control. Her work critically evaluates the accuracy and feasibility of using Microsoft Kinect sensors—both single and dual configurations—against the gold-standard Vicon system for tracking upper-body joint angles. Her most-cited paper, “Comparison of Kinect and Vicon Motion Capture of Upper-Body Joint Angle Tracking” (2018, 48 citations), provides foundational evidence that accessible, affordable sensors can generate realistic trajectory profiles for robots designed to perform repetitive human tasks, such as traffic direction and aircraft marshaling. This contribution is particularly significant for reducing human exposure to pollution and physical strain in outdoor occupations. Schlagenhauf’s follow-up study (2017, 7 citations) further refines these methods by comparing single- versus dual-Kinect setups, offering practical guidance for researchers and engineers seeking cost-effective motion capture solutions. Her work is notable for bridging the gap between consumer-grade technology and high-fidelity robotic applications, making human-robot interaction more accessible and impactful.

Research Focus

Key Achievements

2
H-Index
2
Papers
55
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Kinect and Vicon Motion Capture of Upper-Body Joint Angle Tracking
48 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago