Abstract: 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.

Abstract: 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.

Abstract: This application describes a head-mounted display (HMD) for use in virtual-reality (VR) environments. The systems and methods described herein may determine information about a real-world environment surrounding the user, a location of the user within the real-world environment, and/or a pose of the user within the real-world environment. Such information may allow the HMD to display images of the real-world environment in a pass-through manner and without detracting the user from the VR environment. In some instances, the HMD may pass-through images of the real-world environment based on one or more triggering events.

Abstract: 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.

Abstract: This application describes a head-mounted display (HMD) for use in virtual-reality (VR) environments. The systems and methods described herein may determine information about a real-world environment surrounding the user, a location of the user within the real-world environment, and/or a pose of the user within the real-world environment. Such information may allow the HMD to display images of the real-world environment in a pass-through manner and without detracting the user from the VR environment. In some instances, the HMD may pass-through images of the real-world environment based on one or more triggering events.

Abstract: 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.

Abstract: 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.

Abstract: A calibration system for calibrating tracking equipment includes a segmented dish formed from a plurality of individual panels, a support frame formed from a plurality of individual structural shafts to support the segmented dish, and a rotatable platform to hold the tracking equipment to be calibrated. The segmented dish includes a plurality of sensor assemblies rotatably coupled to its individual panels and a plurality of motor assemblies to control operation of the sensor assemblies.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This application describes a head-mounted display (HMD) for use in virtual-reality (VR) environments. The systems and methods described herein may determine information about a real-world environment surrounding the user, a location of the user within the real-world environment, and/or a pose of the user within the real-world environment. Such information may allow the HMD to display images of the real-world environment in a pass-through manner and without detracting the user from the VR environment. In some instances, the HMD may pass-through images of the real-world environment based on one or more triggering events.

Abstract: Techniques are described for using information from tracking position of a display device to control display of image data. The display device may, for example, be a head-mounted display (“HMD”) device used for virtual reality (“VR”) and/or augmented reality (“AR”) display of images showing part of a simulated environment around a user wearing the HMD device, and the tracking including determining a position of the HMD device in an actual physical environment (e.g., location and/or orientation in 3D space). Operations of the HMD device or other display device and of an associated image rendering system that provides images for display is improved by determining and using information about a latency or other delay between acquiring tracking data for the device and displaying corresponding images on the device, including to initiate a safe mode operation of the device if the determined delay is too large.

Abstract: The disclosure relates generally to techniques for using information about a user's actual or predicted pupil location for correcting optical distortions that are specific to an optical lens and display assembly through which the user is viewing one or more images. The described techniques may include identifying and mapping optical distortions specific to an optical lens and display assembly, and using such mapped optical distortions to correct images displayed to a wearer or other user receiving images via the assembly, such as based at least in part on pupil location of the wearer or other user. As one example, the one or more optical lens may be mounted inside a head-mounted display (HMD) that also includes a display panel or other image source for an eye of a wearer, and if so one or more pupil tracking mechanisms may be integrated into the HMD.

Abstract: The disclosure relates generally to techniques for using information about a user's actual or predicted pupil location for correcting optical distortions that are specific to an optical lens and display assembly through which the user is viewing one or more images. The described techniques may include identifying and mapping optical distortions specific to an optical lens and display assembly, and using such mapped optical distortions to correct images displayed to a wearer or other user receiving images via the assembly, such as based at least in part on pupil location of the wearer or other user. As one example, the one or more optical lens may be mounted inside a head-mounted display (HMD) that also includes a display panel or other image source for an eye of a wearer, and if so one or more pupil tracking mechanisms may be integrated into the HMD.

Abstract: Techniques are described for using information from tracking position of a display device to control display of image data. The display device may, for example, be a head-mounted display (“HMD”) device used for virtual reality (“VR”) and/or augmented reality (“AR”) display of images showing part of a simulated environment around a user wearing the HMD device, and the tracking including determining a position of the HMD device in an actual physical environment (e.g., location and/or orientation in 3D space). Operations of the HMD device or other display device and of an associated image rendering system that provides images for display is improved by determining and using information about a latency or other delay between acquiring tracking data for the device and displaying corresponding images on the device, including to initiate a safe mode operation of the device if the determined delay is too large.

Abstract: The disclosure relates generally to techniques for using information about a user's actual or predicted pupil location for correcting optical distortions that are specific to an optical lens and display assembly through which the user is viewing one or more images. The described techniques may include identifying and mapping optical distortions specific to an optical lens and display assembly, and using such mapped optical distortions to correct images displayed to a wearer or other user receiving images via the assembly, such as based at least in part on pupil location of the wearer or other user. As one example, the one or more optical lens may be mounted inside a head-mounted display (HMD) that also includes a display panel or other image source for an eye of a wearer, and if so one or more pupil tracking mechanisms may be integrated into the HMD.

Abstract: The disclosure relates generally to techniques for using information about a user's actual or predicted pupil location for correcting optical distortions that are specific to an optical lens and display assembly through which the user is viewing one or more images. The described techniques may include identifying and mapping optical distortions specific to an optical lens and display assembly, and using such mapped optical distortions to correct images displayed to a wearer or other user receiving images via the assembly, such as based at least in part on pupil location of the wearer or other user. As one example, the one or more optical lens may be mounted inside a head-mounted display (HMD) that also includes a display panel or other image source for an eye of a wearer, and if so one or more pupil tracking mechanisms may be integrated into the HMD.