Daniel Wiswede

Dortmund University of Applied Sciences and Arts

Papers

1

Total Citations

18

H-Index

1

About

Daniel Wiswede is a researcher at the forefront of medical mixed reality and spatial tracking technologies. His work centers on the critical intersection of hardware accuracy and practical clinical application, particularly in training and rehabilitation environments. Wiswede’s major contribution lies in rigorously evaluating the performance of accessible, consumer-grade tracking systems against the stringent demands of medical use cases. His most-cited paper, "Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups" (2023, 18 citations), systematically quantifies the precision and reliability of SteamVR tracking, demonstrating its potential as a cost-effective alternative to expensive professional systems. This work is foundational for enabling realistic, low-cost practical training for medical staff and effective patient rehabilitation, where high accuracy and occlusion handling are non-negotiable. By bridging the gap between affordable VR hardware and clinical requirements, Wiswede is helping to democratize advanced tracking for healthcare, making immersive, high-fidelity simulation more accessible.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Dortmund University of Applied Sciences and Arts

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago