At this year’s ETRA, we got two research papers accepted: a prototype that showcases eye tracking-based scene understanding in AR (video), and a calibration-free authentication method using eye gaze (short paper). Also, our full paper from ETRA’20, describing a method for inferring the user’s search target, was selected for oral presentation.
In addition, the latest scientific results in the GeAR project has been published as an article in the Sensor Journal. TU Kaiserslautern and DFKI IML present a scientific eye tracking toolkit for augmented reality (AR) settings.
