Valve Corporation

Evan Fletcher

Joshua Mark Hudman

Gordon Wayne Stoll

Alan Yates

Jeffrey George Leinbaugh

Jeffrey Walter Mucha

Charles N Lohr

Scott Douglas Nietfeld

Calibration for eye tracking calibration in a head-mounted display can refined during use by tracking head rotation of a user during a time period while the head-mounted display is worn by the user, tracking eye rotation of the user during the time period, comparing the eye rotation of the user to the head rotation of the user during the time period, and refining a calibration state of eye tracking for the head-mounted display based on comparing the eye rotation of the user to the head rotation of the user during the time period.

Eye tracking

Systems and methods for tracking the position of one or more head-mounted display (HMD) system components of an HMD system. The HMD components may carry a plurality of angle sensitive detectors or other types of detectors. The HMD system may be operative to detect corrupted position tracking samples, allowing such samples to be ignored, thereby improving the position tracking process. Control circuitry causes light sources to emit light according a specified pattern, and receives sensor data from the plurality of detectors. Control circuitry may process the sensor data, for example using machine learning or other techniques, to track a position of one or more HMD components.

Position tracking systems and methods for head-mounted display systems

Systems and methods for tracking the position of one or more objects, such as components of a head-mounted display (HMD) system. One or more objects may carry a plurality of angle sensitive optical detectors. Each of the optical detectors may include an optical subsystem that is configured to vary at least one of phase or intensity of light imparted on the optical detector. The optical subsystem may include one or more of diffractive optical elements, lens arrays, intensity masks, phase masks, or the like. The optical detectors may include a photodetector that includes a plurality of optically active areas, such as a quadrant cell photodetector, an image sensor with an array of photodiodes, etc. Control circuitry may cause light sources to emit light, and may receive sensor data from the plurality of optical detectors. Control circuitry may process the sensor data to track a position of one or more objects.

The present disclosure is directed to systems and methods of eye tracking for use in various applications, such as virtual reality or augmented reality applications that include head-mounted display devices. An eye tracking subsystem may be provided that includes a plurality of assemblies that each include a light source, such as an LED, a light detector, such as a silicon photodiode, and a polarizer that is configured to prevent light reflected via specular reflection from reaching the light detectors so that only scattered light is detected by the light detectors. Machine learning or other techniques may be used to track or otherwise determine a user's gaze direction, which may be used by one or more components of an HMD device to improve its functionality in various ways.

Systems and methods for eye tracking

Systems and methods for tracking the position of a head-mounted display (HMD) system component, such as a wearable HMD device or a hand-held controller. The HMD component may include a support structure that carries a plurality of angle sensitive detectors that are able to detect the angle of arrival of light emitted from a light source. A processor causes light sources to emit light according a specified pattern, and receive sensor data from the plurality of angle sensitive detectors. The processor may process the received sensor data using machine learning or other techniques to track a position of the head-mounted display component based on the processing of the received sensor data.

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Bellevue, WA, United States of America

Evan Fletcher