Florian Geiselhart

Universität Ulm

Papers

1

Total Citations

5

H-Index

1

About

Florian Geiselhart is a researcher at the forefront of human-computer interaction and immersive technologies, with a primary focus on scalable, marker-less motion capturing and sensor fusion. His major contribution lies in developing holistic frameworks that integrate off-the-shelf depth cameras and advanced skeletal tracking algorithms, effectively addressing one of virtual reality’s most persistent challenges: accurate, unencumbered input. By analyzing skeletal tracking performance and designing novel sensor fusion algorithms, Geiselhart’s work enables practical, affordable motion capture solutions for real-world applications, most notably in the automotive industry. His 2024 paper, which presents this comprehensive framework, has already garnered 5 citations, signaling its growing influence in the field. Geiselhart’s research bridges the gap between cutting-edge technological progress and everyday usability, making immersive systems more accessible and robust. His achievements demonstrate a clear commitment to solving tangible problems in virtual reality and human motion analysis, positioning him as a key contributor to the next generation of interactive systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Presenting a Holistic Framework for Scalable, Marker-less Motion Capturing: Skeletal Tracking Performance Analysis, Sensor Fusion Algorithms and Usage in Automotive Industry
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universität Ulm

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago