AI RESEARCH
HiFiGaze: Improving Eye Tracking Accuracy Using Screen Content Knowledge
arXiv CS.CV
•
ArXi:2603.19588v1 Announce Type: cross We present a new and accurate approach for gaze estimation on consumer computing devices. We take advantage of continued strides in the quality of user-facing cameras found in e.g., smartphones, laptops, and desktops - 4K or greater in high-end devices - such that it is now possible to capture the 2D reflection of a device's screen in the user's eyes. This alone is insufficient for accurate gaze tracking due to the near-infinite variety of screen content.