Eye Tracking System for Determining User Activity
AssigneeZinn Labs, Inc.
InventorsKevin Conlon Boyle, Robert Konrad Konrad, Nitish Padmanaban
Life of this patent
Estimating the term…
Abstract
Embodiments relate to an eye tracking system. A headset of the system includes an eye tracking sensor that captures eye tracking data indicating positions and movements of a user's eye. A controller (e.g., in the headset) of the tracking system analyzes eye tracking data from the sensors to determine eye tracking feature values of the eye during a time period. The controller determines an activity of the user during the time period based on the eye tracking feature values. The controller updates an activity history of the user with the determined activity.
Claims20
A method comprising:
- analyzing eye tracking data to determine eye tracking feature values of an eye of a user of a headset during a time period, wherein the eye tracking data is determined from an eye tracking system on the headset;
- determining an activity of the user during the time period based on the determined eye tracking feature values;
- and
- updating an activity history of the user with the determined activity.
A non-transitory computer-readable storage medium comprising stored instructions, the instructions when executed by a computer device, causing the computing device to:
- analyze eye tracking data to determine eye tracking feature values of an eye of a user of a headset during a time period, wherein the eye tracking data is determined from an eye tracking system on the headset;
- determine an activity of the user during the time period based on the determined eye tracking feature values;
- and
- update an activity history of the user with the determined activity.
A headset comprising:
- one or more sensors embedded into a frame of the headset and configured to capture eye tracking data indicating positions and movements of an eye of a user of the headset;
- and
- a controller configured to:
- analyze eye tracking data from the one or more sensors to determine eye tracking feature values of the eye during a time period,
- determine an activity of the user during the time period based on the determined eye tracking feature values, and
- update an activity history of the user with the determined activity.
Dependencies are inferred from the claim text.