Abstract: An event camera system for pupil detection may include a camera assembly and a controller, and may also include one or more off-axis light sources. The camera assembly may include one or more infrared (IR) light sources and an event camera. The one or more IR light sources are configured to emit pulses of IR light along an optical path toward an eyebox. The IR light is reflected from an eye in the eyebox, and the reflected light propagates back along the optical path toward the event camera for detection. The controller is configured to determine an orientation of the eye using data output from the event camera.

Abstract: An event camera system for pupil detection may include a camera assembly and a controller, and may also include one or more off-axis light sources. The camera assembly may include one or more infrared (IR) light sources and an event camera. The one or more IR light sources are configured to emit pulses of IR light along an optical path toward an eyebox. The IR light is reflected from an eye in the eyebox, and the reflected light propagates back along the optical path toward the event camera for detection. The controller is configured to determine an orientation of the eye using data output from the event camera.

Abstract: A differential camera system for object tracking. The system includes a co-aligned light source camera assembly (LSCA) and a controller. The co-aligned LSCA includes a light source and a differential camera sensor. The light source is configured to emit light along an optical path that is directed towards an eye box including an eye of a user. The differential camera sensor is configured to detect a change in brightness of the eye caused in part by the emitted light, asynchronously output data samples corresponding to the detected change in brightness, wherein the optical path is substantially co-aligned with an optical path of the differential camera sensor. The controller is configured to identify a pupil of the eye based on data samples output from the differential camera sensor resulting from the emitted light, and determine a gaze location of the user based in part on the identified pupil.

Abstract: Embodiments are related to a system with a headset capable of monitoring psychomotor performance of a user of the headset based on eyelid tracking information. The headset includes a sensor assembly coupled to a frame of the headset, and a transceiver coupled to the sensor assembly. The sensor assembly is configured to track an eyelid of an eye of the user and capture eyelid tracking information. The transceiver is configured to obtain the eyelid tracking information from the sensor assembly and communicate the eyelid tracking information to a secondary device coupled to the headset for processing the eyelid tracking information and determination of sleep information for the user based in part on the processed eyelid tracking information.

Abstract: An event camera system for pupil detection may include a camera assembly and a controller, and may also include one or more off-axis light sources. The camera assembly may include one or more infrared (IR) light sources and an event camera. The one or more IR light sources are configured to emit pulses of IR light along an optical path toward an eyebox. The IR light is reflected from an eye in the eyebox, and the reflected light propagates back along the optical path toward the event camera for detection. The controller is configured to determine an orientation of the eye using data output from the event camera.

Abstract: A device includes a camera assembly and a controller. The camera assembly is configured to capture images of both eyes of a user. Using the captured images, the controller determines a location for each pupil of each eye of the user. The determined pupil locations and captured images are used to determine eye tracking parameters which are used to compute values of eye tracking functions. With the computed values and a model that maps the eye tracking functions to gaze depths, a gaze depth of the user is determined. An action is performed based on the determined gaze depth.

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.

Abstract: Embodiments are related to a plurality of gaze sensors embedded into a frame of a headset for detection of a gaze vector of a user wearing the headset and user's control at the headset. The gaze vector for an eye of the user can be within a threshold distance from one of the gaze sensors. By monitoring signals detected by the gaze sensors, it can be determined that the gaze vector is within the threshold distance from the gaze sensor. Based on this determination, at least one action associated with the headset is initiated.

Abstract: An event camera system for pupil detection may include a camera assembly and a controller, and may also include one or more off-axis light sources. The camera assembly may include one or more infrared (IR) light sources and an event camera. The one or more IR light sources are configured to emit pulses of IR light along an optical path toward an eyebox. The IR light is reflected from an eye in the eyebox, and the reflected light propagates back along the optical path toward the event camera for detection. The controller is configured to determine an orientation of the eye using data output from the event camera.

Abstract: Embodiments are related to a headset integrated into a healthcare platform. The headset comprises one or more sensors embedded into a frame of the headset, a controller coupled to the one or more sensors, and a transceiver coupled to the controller. The one or more sensors capture health information data for a user wearing the headset. The controller pre-processes at least a portion of the captured health information data to generate a pre-processed portion of the health information data. The transceiver communicates the health information data and the pre-processed portion of health information data to an intermediate device communicatively coupled to the headset. The intermediate device processes at least one of the health information data and the pre-processed portion of health information data to generate processed health information data for a health-related diagnostic of the user.

Abstract: Embodiments are related to a plurality of gaze sensors embedded into a frame of a headset for detection of a gaze vector of a user wearing the headset and user's control at the headset. The gaze vector for an eye of the user can be within a threshold distance from one of the gaze sensors. By monitoring signals detected by the gaze sensors, it can be determined that the gaze vector is within the threshold distance from the gaze sensor. Based on this determination, at least one action associated with the headset is initiated.

Abstract: An event camera system for pupil detection may include a camera assembly and a controller, and may also include one or more off-axis light sources. The camera assembly may include one or more infrared (IR) light sources and an event camera. The one or more IR light sources are configured to emit pulses of IR light along an optical path toward an eyebox. The IR light is reflected from an eye in the eyebox, and the reflected light propagates back along the optical path toward the event camera for detection. The controller is configured to determine an orientation of the eye using data output from the event camera.

Abstract: A device includes a camera assembly and a controller. The camera assembly is configured to capture images of both eyes of a user. Using the captured images, the controller determines a location for each pupil of each eye of the user. The determined pupil locations and captured images are used to determine eye tracking parameters which are used to compute values of eye tracking functions. With the computed values and a model that maps the eye tracking functions to gaze depths, a gaze depth of the user is determined. An action is performed based on the determined gaze depth.