Eye tracking using time-based filtering
AssigneeValve Corporation
InventorsEvan Fletcher, Scott Nietfeld
Life of this patent
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AssigneeValve Corporation
InventorsEvan Fletcher, Scott Nietfeld
Estimating the term…
Automatic field calibration for eye tracking in a head-mounted display is discussed. Processors can be configured to acquire images of a user's eye, estimate gaze direction from these images, and enhance accuracy by applying time-based filtering, such as Kalman filtering, across multiple images. Refined gaze estimates enable prediction of future gaze direction, facilitating dynamic rendering of images within the display. Calibration precision can be further improved by utilizing head rotation data, statistical analysis of sequential eye images, and/or user interactions, including interface selections, controller movements, or hand gestures. Confidence metrics can be generated for each gaze estimation, and calibration parameters are updated (e.g., continuously) for each user during ongoing use, reducing or eliminating the need for explicit calibration procedures. Predictive gaze estimation can contribute to both advanced eye-tracking modeling and optimization of rendered content, delivering adaptive calibration and enhanced real-time user experience.
A system for automatic field calibration for eye tracking in a head-mounted display using time-based filtering, the system comprising:
A method for automatic field calibration for eye tracking in a head-mounted display using time-based filtering, the method comprising:
A memory device comprising instructions that, when executed, cause one or more processors to perform the following steps:
21-31. (canceled)
Dependencies are inferred from the claim text.