Felix Gaisbauer
Papers
1
Total Citations
5
H-Index
1
About
Felix Gaisbauer is a researcher at the forefront of human motion analysis and virtual reality interaction, with a primary focus on scalable, marker-less motion capturing technologies. His work addresses one of VR’s most persistent challenges—intuitive and robust user input—by leveraging off-the-shelf depth cameras to replace cumbersome tracking systems. Gaisbauer’s major contribution is the development of a holistic framework that integrates skeletal tracking performance analysis with advanced sensor fusion algorithms, enabling practical, low-cost motion capture for industrial applications. His most-cited paper, published in 2024, has already garnered 5 citations, reflecting the timely relevance of his approach in fields like automotive ergonomics and human-robot collaboration. By demonstrating how affordable depth sensors can achieve reliable tracking, Gaisbauer is helping to democratize motion capture technology, making it accessible for real-world deployment beyond the lab. His work not only advances VR input methods but also provides a blueprint for integrating sensor fusion into complex industrial environments, positioning him as a key innovator in bridging virtual and physical interaction.
Research Focus
Key Achievements
Top Papers
- 1