The AR apprenticeship: replication and omnidirectional viewing of subtle movements
Tobias Sielhorst, Joerg Traub, Nassir Navab · 2004
We propose an AR system that learns from the expert by tracking his movements while he/she uses a simulator or performs a real (often complicated) task. This information is reproduced for demonstration to students in an enhanced simulator. By simultaneous visualization and comparison of the experts and students performance, direct feedback is provided. We propose real-time recording of instruments' tracking data of expert's actions for latter replication in an AR system for teaching purposes. The movements are recorded relative to an existing physical simulator. By this means the student can view the subtle movements from any direction repeatedly without time limits of the expert in order to learn and improve his own performance.