Burcu Cinaz
Papers
1
Total Citations
54
H-Index
1
About
Burcu Cinaz is a researcher whose work lies at the intersection of wearable computing, sensor fusion, and human-centered localization. Her most notable contribution is the development of HeadSLAM, a pioneering approach that adapts simultaneous localization and mapping (SLAM) techniques—originally from mobile robotics—to head-mounted inertial and laser range sensors. This innovation enables users and their wearable computers to self-localize in unknown environments without relying on pre-deployed infrastructure or a-priori maps, a critical advancement for autonomous navigation in dynamic, real-world settings. With over 50 citations, her foundational 2008 paper has influenced subsequent work in wearable sensing and indoor positioning. Cinaz’s research demonstrates how borrowing principles from robotics can solve pressing challenges in ubiquitous computing, making her a key figure in the evolution of context-aware, infrastructure-free localization systems. Her work continues to inspire students and researchers exploring the frontiers of human-machine interaction and autonomous wearable technologies.
Research Focus
Key Achievements
Top Papers
- 1